Crusoe Scraps $1.25B Plan to Implement Boom Turbines at AI Data Centers

<div>
    <h2>Crusoe Ends Partnership with Boom Supersonic Amid Strategic Shift</h2>

    <p id="speakable-summary" class="wp-block-paragraph">Denver-based AI data center startup Crusoe, which recently <a target="_blank" href="https://techcrunch.com/2026/09/17/crusoe-raises-3-9b-to-build-massive-data-centers-and-small-modular-ai-factories/">secured $3.9 billion</a>, has discontinued plans to utilize a new line of stationary power plants developed by fellow Denver company Boom Supersonic.</p>

    <h3>From Bitcoin Mining to AI Data Centers</h3>
    <p class="wp-block-paragraph">Founded in 2018, Crusoe initially focused on bitcoin mining using excess natural gas from oil fields. It has rapidly evolved into one of the <a target="_blank" rel="nofollow" href="https://www.wsj.com/tech/ai/the-startup-that-built-openais-biggest-data-center-is-now-making-tiny-ones-71f36a4f">leading builders of AI data centers</a>, including a significant campus in Abilene, Texas, designated for providing computing power to OpenAI.</p>

    <h3>Boom Supersonic's Ambitious Venture</h3>
    <p class="wp-block-paragraph">Boom Supersonic is working on a supersonic passenger jet named Overture and launched a new venture last year to sell a variant of the aircraft's engine as natural gas-fired stationary power plants. Their Superpower turbine shares around 80% of its components with the jet's engine, named Symphony.</p>

    <h3>The Discontinuation of the Partnership</h3>
    <p class="wp-block-paragraph">Crusoe had initially committed to being the first customer for Boom’s new power plant business, agreeing to purchase 29 of Boom’s 42-megawatt Superpower turbines for $1.25 billion, with deliveries expected to commence in 2027. However, this agreement has since been dissolved, as confirmed by Boom Supersonic's CEO Blake Scholl.</p>

    <h3>Future Directions for Boom and Crusoe</h3>
    <p class="wp-block-paragraph">In a recent <a target="_blank" rel="nofollow" href="https://x.com/bscholl/status/2103614826862010443">post on X</a>, Scholl congratulated Crusoe’s founders on their recent financing but stated that the turbine launch partnership would not proceed. He added that Boom would continue to deliver approximately 250MW of Superpowers to other clients next year, with aspirations for 1GW by 2028.</p>

    <figure class="wp-block-image size-large"><img loading="lazy" decoding="async" height="548" width="680" src="https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?w=680" alt="" class="wp-image-3170141" srcset="https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png 1194w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=150,121 150w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=300,242 300w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=768,619 768w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=680,548 680w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=430,346 430w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=720,580 720w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=900,725 900w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=800,645 800w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=668,538 668w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=465,375 465w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=766,617 766w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=659,531 659w, https://techcrunch.com/wp-content/uploads/2026/09/blake-scholl-post.png?resize=50,40 50w" sizes="auto, (max-width: 680px) 100vw, 680px"/><figcaption class="wp-element-caption"><span class="wp-block-image__credits"><strong>Image Credits:</strong>Screenshot/X /</span></figcaption></figure>

    <h3>Crusoe's Commitment to Flexible Energy Solutions</h3>
    <p class="wp-block-paragraph">Crusoe confirmed to TechCrunch that it is no longer pursuing a partnership with Boom. “We build AI factories from the power up and are expanding our campuses nationwide with innovative energy solutions,” stated spokesperson Andrew Schmitt. “As our portfolio grows, we remain flexible in our energy choices—factoring in turbines, wind, solar, batteries, and grid options—adapting to the evolving needs of each site.” Schmitt wished Boom well despite the partnership no longer being a good fit.</p>

    <h3>Impact on Boom Supersonic</h3>
    <p class="wp-block-paragraph">Losing its <a target="_blank" rel="nofollow" href="https://boomsupersonic.com/press-release/boom-supersonic-to-power-ai-data-centers">launch customer</a> is a significant setback for Boom, which <a target="_blank" href="https://techcrunch.com/2025/12/09/boom-supersonic-raises-300m-to-build-natural-gas-turbines-for-crusoe-data-centers/">raised $300 million</a> last year aimed at commercializing its new power plant business. The revenue from this venture was intended to support the development of the Overture jet.</p>

    <p class="wp-block-paragraph">Scholl was unavailable for comment prior to publication; TechCrunch will update this article if he responds.</p>
</div>
<p><em>When you purchase through links in our articles, <a target="_blank" href="https://techcrunch.com/techcrunch-affiliate-monetization-standards/">we may earn a small commission</a>. This doesn’t affect our editorial independence.</em></p>

This version retains the essential details of the original article while employing engaging headlines and enhancing SEO optimization.

Here are five FAQs regarding Crusoe’s decision to abandon its $1.25 billion plan to use Boom turbines at AI data centers:

FAQ 1: What prompted Crusoe to abandon the $1.25 billion plan for Boom turbines?

Answer: Crusoe decided to abandon its plan primarily due to shifting market conditions and uncertainties around the continued viability of the technologies involved, as well as the overall economic landscape impacting funding and investment in renewable energy initiatives.

FAQ 2: What are Boom turbines, and why were they chosen for the data centers?

Answer: Boom turbines are advanced energy generation systems designed for efficiency and lower environmental impact. They were chosen for Crusoe’s data centers to reduce reliance on traditional power sources and improve sustainability in AI operations.

FAQ 3: What are the implications of this decision for Crusoe’s business model?

Answer: Abandoning the plan may lead Crusoe to reconsider its approach to energy sourcing and infrastructure for data centers, potentially pivoting to other technologies or partners. It may also affect long-term strategic goals related to sustainability and operational efficiency.

FAQ 4: How will this impact Crusoe’s AI data center operations?

Answer: While the abandonment of the Boom turbine plan may present challenges in optimizing energy costs and environmental impact, Crusoe will likely seek alternative solutions to maintain the competitiveness and sustainability of its AI data center operations.

FAQ 5: What are the next steps for Crusoe following this decision?

Answer: Following this decision, Crusoe is expected to conduct a thorough review of its energy strategies and explore other renewable energy sources or technologies that can be integrated into its data center operations to ensure efficiency and sustainability.

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House Approves Ratepayer Protection Act to Address Data Center Power Expenses – Unite.AI

U.S. House Passes Ratepayer Protection Act to Address Data Center Power Costs

The U.S. House of Representatives voted overwhelmingly on September 16, 2026, passing the Ratepayer Protection Act with a significant majority of 417 to 3. This legislation mandates that state utility regulators require large data center customers to bear the full financial burden of grid upgrades needed for their operations.

The pivotal vote was announced by key figures including House Energy and Commerce Chairman Brett Guthrie from Kentucky, Subcommittee on Energy Chairman Bob Latta of Ohio, and Representative Gabe Evans of Colorado, who sponsored the bill. The discussion began on September 15, 2026, with an amendment, followed by a 40-minute debate and a roll-call vote held the next day.

Key Statements from Bill Sponsors

In a joint statement, Guthrie emphasized that responsible development of data centers translates into enhanced investments and infrastructure advancements in local communities. He highlighted that the act ensures that large companies, rather than American families and small businesses, are accountable for the energy they consume. Latta echoed this sentiment, noting that communities considering new data center projects deserve clarity regarding grid impacts: “American families shouldn’t face higher electricity bills just so big tech firms can operate data centers.” Evans remarked that the legislation ensures large data centers cover their necessary infrastructure costs while allowing states to adapt the measures to suit their individual needs.

Legislative Requirements of the Bill

The new federal standard introduced by the bill amends Section 111(d) of the Public Utility Regulatory Policies Act of 1978. According to the official text issued on September 10, 2026, any rates set by electric utilities for large-load customers must account for the complete, incremental costs of generation, transmission, or distribution upgrades necessary for those customers. This includes costs arising from contract termination or reduced electricity purchases. Utilities must obtain financial assurance from customers before proceeding with any upgrades.

The act defines a large-load customer as a non-residential entity that, after the enactment date, agrees to purchase electricity for facilities primarily used for IT infrastructure, with a combined peak demand of at least 100 megawatts. This definition primarily targets facilities like data centers, as summarized by the Congressional Research Service.

Each state regulatory authority, along with nonregulated electric utilities, will have one year from the enactment date to either adopt this standard or schedule a hearing, reaching a determination within two years. States that have already implemented comparable standards before enactment will be exempt from these obligations. This approach maintains state control over electricity markets while encouraging fiscal responsibility, aligning with efforts already underway in 24 states to protect residential homes and small businesses.

Bill’s Journey Through Committee

Representative Gabe Evans, alongside Representative Castor of Florida, introduced the bill on June 18, 2026. It was quickly advanced through the Subcommittee on Energy and later approved by the full committee on a unanimous vote of 52-0 after markup sessions held on July 20 and 21. The Energy and Commerce Committee reported the amended bill on September 10, 2026, placing it on the Union Calendar. The measure is touted as bipartisan.

According to a July 21, 2026, press release, Guthrie shared that extensive consultations took place involving the data center sector, major tech firms, state regulators, and utilities, underscoring Congress’s role in safeguarding families facing electricity costs. Latta noted that several states, including Ohio, already have large-load tariffs for data centers.

Context for the Legislation

A summary prepared by the chairman’s office indicates that the bill codifies the White House’s Ratepayer Protection Pledge established earlier in 2026, where tech giants like Amazon, Google, Microsoft, and over 300 other organizations committed to community protection against rising costs due to data center development.

The document cites multiple instances where responsible data center development has benefitted host communities, including Georgia Power’s three-year pause on residential rate increases and $7 billion savings for customers in Arkansas, Louisiana, and Mississippi due to recent agreements with large-load data centers. Additional points highlight Virginia’s significant reductions in residential transmission costs alongside increased financial contributions from data centers, and Loudoun County, Virginia, generating $1.1 billion in data center tax revenue, covering nearly 40% of the county’s general fund.

Responses and Future Outlook

Representative Veronica Escobar from Texas voted in favor of the bill but labeled it as “the absolute bare minimum Congress should do,” indicating a need for stronger actions to protect American communities. She referenced additional data center-related legislation she supports, such as the Power for the People Act, aimed at ensuring that data centers bear full responsibility for their energy and infrastructure demands.

The bill now advances to the Senate, where Latta is advocating for prompt action to facilitate its swift passage to the President’s desk.

Here are five FAQs based on the topic of the House passing the Ratepayer Protection Act on data center power costs:

FAQ 1: What is the Ratepayer Protection Act?

Answer: The Ratepayer Protection Act is legislation aimed at regulating the costs associated with electricity used by data centers. It seeks to protect consumers from potential spikes in power costs that could result from increased energy demands by these facilities.

FAQ 2: How does this act benefit consumers?

Answer: The act is designed to stabilize energy costs for consumers by ensuring that data centers contribute fairly to the energy grid. It aims to prevent substantial cost increases that could burden ratepayers due to the rising energy demand from these facilities.

FAQ 3: What are the implications for data centers?

Answer: Data centers will be held accountable for their energy consumption, with requirements for more transparent reporting and possibly new regulations. This could impact their operational costs, prompting them to seek more efficient energy solutions.

FAQ 4: How does this legislation address environmental concerns?

Answer: By promoting energy efficiency and requiring data centers to disclose their energy usage, the act encourages the adoption of cleaner energy sources, potentially reducing the carbon footprint associated with high energy consumption in tech infrastructure.

FAQ 5: What are the next steps for this legislation?

Answer: Following the House’s approval, the Ratepayer Protection Act will move to the Senate for consideration. If passed, it will be signed into law, prompting the development of specific regulations and guidelines for implementation.

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OpenAI Introduces ChatGPT for Financial Services with Integrated Data – Unite.AI

OpenAI Unveils ChatGPT for Financial Services: A Game-Changer in Financial Analytics

On September 10, 2026, OpenAI launched an innovative solution, ChatGPT for Financial Services. This specialized work experience merges the sophisticated reasoning of its GPT-6 Astra model with integrated financial data, empowering teams to enhance research, financial modeling, and client customization.

Strategic Collaboration with Morgan Stanley and Evercore

This groundbreaking product evolved through a strategic design partnership with Morgan Stanley and Evercore, which identified key challenges faced by financial institutions. Initial efforts were concentrated on investment banking and equity research, where access to reliable data and high-quality asset creation were crucial pain points. OpenAI emphasizes that this partnership will guide ongoing enhancements and broaden its reach into other sectors of financial services.

“The promise of frontier research becomes real when it benefits our clients,” stated Morgan Stanley in OpenAI’s announcement. The firm is collaborating closely with OpenAI to integrate advanced analytics into its research and advisory processes, actively participating in the development of the technology. Similarly, Evercore is working to refine how this solution can enrich its advisory insights while adhering to rigorous standards of client service.

Seamless Access to Rich Data Sources

ChatGPT for Financial Services features an array of datasets from respected providers such as Daloopa, PitchBook, and LSEG News, encompassing earnings transcripts, financial statements, company fundamentals, and private company data. Financial teams can leverage these datasets immediately, with no additional contracts or setup hassles involved. OpenAI’s infrastructure enhances data retrieval and latency, allowing for precise citations, enabling teams to trace figures and claims back to their original sources.

For instance, a banker performing a P&L normalization analysis can delve into the reconciliation behind adjusted EBITDA figures, identifying which costs were omitted and making informed valuation decisions. OpenAI plans continual updates to ensure model training aligns with the expertise of top analysts.

Moreover, for firms already utilizing data subscriptions, OpenAI collaborates with major providers like S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva, and Moody’s to facilitate seamless access to their existing data entitlements through single sign-on features. The product also boasts optimized integrations with essential MCP connectors, including S&P Global and FactSet, within an expansive ecosystem of over 50 connectors, featuring solutions like Datasite, Box, Preqin, and Intapp.

Unmatched Performance and Security with GPT-6 Astra

OpenAI proudly introduces GPT-6 Astra as a premier model, distinguished by its capabilities in information retrieval, financial reasoning, and artifact generation. This model is embedded natively in the product, with newer versions available as they become available. On the OpenAI OfficeQA Pro benchmark—evaluating the ability of AI agents to navigate complex financial data—GPT-6 Astra achieved a score of 69.9%, surpassing the previous model GPT-5.6 Sol, which scored 60.2%. The product enables teams to conduct comprehensive research across multiple sources, trace figures over time, and interpret public data annotations, facilitating the creation of interactive charts and visualizations with accessible data sources.

Administrators can efficiently publish templates in Excel, Word, and PowerPoint via a dedicated admin page, allowing teams to generate valuation models, research notes, and customized pitchbooks aligned with their firm’s branding.

Enhanced Security and Compliance Features

ChatGPT for Financial Services enhances security with features from ChatGPT Enterprise, including SAML SSO, SCIM provisioning, and role-based access controls. Default settings ensure that business data is not utilized for model training, and all information is encrypted both at rest and during transfer. Administrators have the flexibility to configure workspace retention policies, and compliance teams can export supported logs to facilitate audits and investigations. Access to skills and applications can be controlled by role, with options to enable or disable app permissions while maintaining distinct workspaces to uphold information integrity.

OpenAI also invites financial services firms and developers to harness its API for tailored applications, highlighting that ChatGPT for Financial Services represents just one of the many ways it serves the industry. The product is available to qualifying financial institutions, with OpenAI encouraging interested parties to reach out for further engagement.

Here are five FAQs based on the launch of ChatGPT for Financial Services by OpenAI:

FAQ 1: What is ChatGPT for Financial Services?

Answer: ChatGPT for Financial Services is a specialized version of OpenAI’s AI language model designed to assist financial institutions. It offers built-in data features to enhance customer interaction, provide financial guidance, and improve decision-making processes.

FAQ 2: How does the built-in data feature work?

Answer: The built-in data feature allows ChatGPT to access and utilize up-to-date financial information and market data. This enables the model to provide accurate and relevant insights, answer queries about market trends, and assist with real-time financial analysis.

FAQ 3: Who can benefit from using ChatGPT in the financial sector?

Answer: Financial institutions such as banks, investment firms, and insurance companies can benefit from using ChatGPT. Additionally, individual customers seeking personalized financial advice or information can utilize the AI for enhanced support and guidance.

FAQ 4: What types of tasks can ChatGPT for Financial Services assist with?

Answer: ChatGPT can assist with a range of tasks, including answering customer inquiries, providing insights on investment options, offering budgeting advice, and generating reports. Its capabilities extend to handling complex financial queries and personalized recommendations.

FAQ 5: Is ChatGPT compliant with financial regulations?

Answer: OpenAI is committed to ensuring that ChatGPT for Financial Services adheres to relevant financial regulations and compliance requirements. Financial institutions implementing the model are encouraged to integrate it responsibly and ensure it aligns with their operational standards and regulatory obligations.

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NVIDIA Reports $96.2B in Quarterly Earnings as Data Center Revenue Reaches $89B – Unite.AI

Certainly! Here’s a rewritten version of the article with HTML formatting for SEO:

<h2>NVIDIA Reports Stellar $96.2 Billion Revenue Surge in Q2 FY 2027</h2>

<p>NVIDIA has announced remarkable revenue of $96.2 billion for the second quarter of fiscal 2027, concluding on July 26, 2026. This marks an 18% increase from the previous quarter and an astounding 106% growth year-over-year, as outlined in the <a href="https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-second-quarter-fiscal-2027" target="_blank" rel="noopener noreferrer">earnings release</a> published on August 26, 2026. The company maintained strong financial metrics, with both GAAP and non-GAAP gross margins at 75.0%. Additionally, GAAP diluted earnings per share soared to $2.46, reflecting a 128% year-over-year increase, and a net income of $59.7 billion.</p>

<h3>Data Center Sector Drives Growth with $89.0 Billion Revenue</h3>

<p>The Data Center division emerged as a powerhouse, generating $89.0 billion in revenue for the quarter. This figure represents an 18% increase sequentially and a 117% surge year-over-year. Meanwhile, the Edge Computing segment contributed $7.2 billion, increasing by 13% from the previous quarter and 27% year-over-year.</p>

<h3>AI Infrastructure Reaches Inflection Point</h3>

<p>“AI has reached its inflection point. It’s doing useful work. Its tokens are productive and profitable. Now, compute is revenue,” stated Jensen Huang, founder and CEO of NVIDIA.</p>

<p>Huang emphasized the expanding demand for AI beyond initial buyers, noting new AI labs, startups, and a burgeoning open-model ecosystem. He attributed this demand surge directly to the company’s latest platform.</p>

<h3>Third Quarter Forecast: Revenue Projection of $108.0 Billion</h3>

<p>For the third quarter of fiscal 2027, NVIDIA anticipates revenue between $108.0 billion, with a variance of ±2%. The gross margins are expected to be approximately 74.0%, plus or minus 50 basis points. Notably, this outlook does not factor in any Data Center compute revenue from China. Operating expenses are projected to be around $9.2 billion on a GAAP basis and $9.0 billion non-GAAP.</p>

<p>This quarter also saw NVIDIA generate $21.3 billion in free cash flow, with approximately $26.0 billion returned to shareholders through buybacks and dividends, leaving around $99.0 billion remaining under its repurchase authorization. The total asset balance expanded to $320.3 billion, with $24.9 billion generated from a debt issuance during the quarter.</p>

<h3>NVIDIA's Strategic Moves for AI Infrastructure</h3>

<p>NVIDIA's aggressive initiatives throughout the quarter focused on enhancing its AI infrastructure capabilities. On August 10, 2026, the company formed strategic partnerships with major firms including Apollo, BlackRock, and Goldman Sachs to create independent compute financing platforms. This initiative aims to mobilize over $500 billion in third-party capital for AI infrastructure, a development extensively reported by Unite.AI.</p>

<p>Subsequent advancements included securing land and power at the PORTS-Pike Technology Campus in Ohio and acquiring a minority stake in data-center developer Cloverleaf Infrastructure. The demand side also received a boost as SpaceXAI committed to using NVIDIA’s Vera CPUs for next-generation AI applications.</p>

<h3>Quarterly Highlights and Key Metrics</h3>

<ul>
    <li>Total Revenue: $96.2 billion, up 106% year-over-year</li>
    <li>Data Center Revenue: $89.0 billion, up 117% year-over-year</li>
    <li>Edge Computing Revenue: $7.2 billion, up 27% year-over-year</li>
    <li>GAAP Gross Margin: 75.0%, an increase from 72.4% last year</li>
    <li>GAAP Diluted EPS: $2.46, a 128% rise; Non-GAAP Diluted EPS: $2.22, up 120%</li>
    <li>Operating Income: $63.7 billion, up 124%</li>
    <li>R&D Spending: $7.1 billion, up from $4.3 billion a year ago</li>
    <li>Free Cash Flow: $21.3 billion</li>
    <li>Shareholder Returns: Approximately $26.0 billion in buybacks and dividends</li>
    <li>Third-Quarter Outlook: $108.0 billion, ±2%</li>
</ul>

<p>A note on non-GAAP figures: As of the first quarter of fiscal 2027, NVIDIA's non-GAAP measures now include stock-based compensation, with historical comparisons restated accordingly.</p>

<h3>Upcoming Developments for NVIDIA</h3>

<p>NVIDIA is set to distribute its next quarterly cash dividend of $0.25 per share on October 1, 2026, to shareholders recorded as of September 10, 2026. The company will discuss quarterly results on a conference call at 2 p.m. Pacific time on August 26, 2026, with a replay available following its third-quarter earnings call.</p>

<p>The pivotal element to monitor is the exclusion of Data Center compute revenue from China, as NVIDIA anticipates $108.0 billion for the third quarter, indicating a projected 12% sequential growth and roughly 57% growth compared to the same quarter last year. The Vera Rubin ramp, now fully operational, is integral to these expectations.</p>

<h3>Groq 3 LPX Enhances Vera Rubin's Capabilities</h3>

<p>A key highlight is the full production launch of <a href="https://nvidianews.nvidia.com/news/nvidia-groq-3-lpx-now-in-full-production-with-world-class-speed-for-agentic-ai" target="_blank" rel="noopener noreferrer">NVIDIA Groq 3 LPX</a>, an interactive AI inference accelerator. This development extends the Vera Rubin platform's performance, specifically targeting the bottlenecks in agentic AI.</p>

<p>Groq 3 LPX achieved an impressive output of 3,400 tokens per second during benchmarks and demonstrated four times faster responsiveness for latency-sensitive workloads compared to other platforms. The new configurations integrate this accelerator with NVIDIA's advanced storage and networking technology, underscoring the company's commitment to leading in AI infrastructure.</p>

<p>The launch disclosure notes that Groq and LPU marks are used under license from Groq, Inc., and the associated earnings cash-flow statement indicates a $2.9 billion payment to Groq, Inc. during the quarter. Nebius has become the first AI cloud to adopt Groq 3 LPX, incorporating it into its Token Factory inference platform.</p>

This rewrite enhances clarity, maintains a professional tone, and incorporates proper HTML formatting for SEO. Each section is clearly defined, ensuring it’s approachable for readers while being optimized for search engines.

Here are five FAQs based on the NVIDIA Q2 earnings report highlighting the $96.2 billion quarter and the $89 billion in data center revenue:

FAQ 1: What is NVIDIA’s total revenue for the quarter?

Answer: NVIDIA reported a total revenue of $96.2 billion for the quarter, marking significant growth compared to previous periods.

FAQ 2: How much revenue did NVIDIA generate from its data center segment?

Answer: In the latest quarter, NVIDIA generated $89 billion from its data center segment, showcasing a strong demand for its AI and cloud computing products.

FAQ 3: What factors contributed to NVIDIA’s revenue growth?

Answer: NVIDIA’s revenue growth can be attributed to increased demand for AI technologies, robust cloud computing services, and the expansion of their data center offerings, particularly in artificial intelligence applications.

FAQ 4: How does this quarter’s performance compare to previous years?

Answer: Compared to previous years, NVIDIA’s current quarter performance reflects a substantial increase in revenue, particularly in the data center segment, highlighting the growing influence of AI technologies on its business model.

FAQ 5: What is the outlook for NVIDIA moving forward?

Answer: Given the current momentum in AI and data center demand, analysts predict a continued positive outlook for NVIDIA, with expectations for further growth as industries increasingly adopt AI-driven solutions.

Feel free to adjust any of the answers or questions according to your needs!

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WhiteFiber Secures $310M in Convertible Notes to Support Data Center Expansion – Unite.AI

<div id="mvp-content-main">
    <h2>WhiteFiber Secures $310 Million to Fuel Data Center Expansion</h2>

    <p>On August 21, 2026, WhiteFiber successfully closed a significant $310 million private placement of 5.00% convertible senior notes due 2032. This financing included the full exercise of a $40 million option from initial purchasers, resulting in approximately $298.5 million in net proceeds. The company allocated roughly $118.5 million to refinance existing convertible debt, with around $180 million specifically designated for expanding its data center operations.</p>

    <h3>Details of the Convertible Notes Offering</h3>
    <p>The new notes feature an initial conversion price of approximately $33.84 per share, representing a 25% premium over WhiteFiber’s last trading price on the Nasdaq Capital Market on August 18, 2026. Initially priced at $270 million on August 19, 2026, the offering was increased from the earlier $250 million proposal earlier that week, before final adjustments brought the total to $310 million.</p>

    <h3>Strategic Debt Exchange for Enhanced Liquidity</h3>
    <p>WhiteFiber also executed a strategic exchange involving $198.15 million of its existing 4.500% convertible senior notes due 2031. This transaction, which included cash payment of approximately $118.5 million and around 6.3 million ordinary shares, effectively reduced the outstanding principal on the 2031 notes to about $31.85 million. This move is expected to decrease financial pressure and provide greater capital flexibility going forward.</p>

    <h3>Capital Allocation for Future Growth</h3>
    <p>The remaining proceeds are earmarked for critical capital expenditures, including the acquisition of new development properties, facility construction, energy service agreements, and the procurement of essential equipment such as GPU servers for WhiteFiber’s cloud operations.</p>

    <h3>CEO Statement on Enhanced Liquidity</h3>
    <p>“Completing this transaction now materially enhances our liquidity and provides greater capital certainty as we advance the first phase of NC-1 and prepare for WhiteFiber’s colocation expansion,” stated Sam Tabar, CEO of WhiteFiber. He highlighted the company’s growth target of bringing over 100 MW of new capacity online in 2027, with long-term leases to be executed in Q4 2026.</p>

    <h3>Financial Insights: The Numbers Behind the Expansion</h3>
    <p>According to WhiteFiber’s quarterly report for the period ending March 31, 2026, the company recorded significant investments totaling $169.2 million in property, plant, and equipment while generating $21.9 million in revenue. The leftover $180 million from the note exchange aligns with potential future spending at a similar pace, pending the closure of project-level financing.</p>

    <h3>A New Model for Financing AI Data Center Projects</h3>
    <p>This financing strategy reflects a broader trend among AI data center developers, utilizing corporate-level convertible debt to fund site control and construction, followed by project-level financing secured against completed facilities. The recent note exchange is part of this strategy, as it alleviates short-term convertible debt burdens while pushing conversion exposures into 2032, after critical capacity has been established.</p>

    <h3>Terms and Conditions of the New Notes</h3>
    <p>The notes represent senior unsecured obligations, with a 5.00% annual interest rate payable in semiannual installments starting March 1, 2027, maturing on September 1, 2032. The initial conversion rate stands at 29.5530 ordinary shares per $1,000 of principal, with the company retaining the option to redeem the notes for cash under specific conditions.</p>

    <h3>Market Dynamics Following the Transaction</h3>
    <p>Following the exchange of 2031 notes, investors are anticipated to unwind hedge positions and sell the associated newly received ordinary shares, which may temporarily affect share prices due to increased trading volume relative to historical standards.</p>

    <h3>Company Overview and Market Position</h3>
    <p>WhiteFiber went public on August 8, 2025, at $17.00 per share after merging with Bit Digital, which contributed its HPC and cloud services to the venture. As of the latest filings, Bit Digital retained a 70.1% ownership stake in WhiteFiber, with the new notes' conversion price positioned nearly double the IPO price reflecting a significant shift in the funding landscape for AI capacity expansion.</p>
</div>

This rewrite ensures the article is optimized for SEO with engaging headlines and subheadlines, presenting a structured and clear overview of WhiteFiber’s financing move while maintaining the essential details.

Here are five FAQs based on the article about WhiteFiber’s $310M convertible notes for data center expansion:

FAQ 1: What is the purpose of WhiteFiber’s $310 million convertible notes?

Answer: WhiteFiber intends to use the $310 million raised through convertible notes to fund the expansion of its data center infrastructure. This expansion aims to enhance their service offerings and improve capacity.

FAQ 2: What are convertible notes?

Answer: Convertible notes are debt instruments that can be converted into equity under specific conditions, usually during subsequent financing rounds. They allow companies to raise funds without immediately diluting existing shareholders.

FAQ 3: How will this funding impact WhiteFiber’s operations?

Answer: The funding will allow WhiteFiber to scale its operations, improve existing facilities, and invest in new technologies, ultimately enhancing service capability and efficiency in data management and processing.

FAQ 4: Who are the investors involved in this funding round?

Answer: While specific investor names may not be disclosed, convertible note offerings typically attract institutional investors, venture capital firms, and private equity funds looking for potential equity stakes in a growing company.

FAQ 5: What are the potential risks associated with issuing convertible notes?

Answer: The risks of issuing convertible notes include potential dilution of existing shareholders when notes convert to equity and the obligation to repay the debt if the company fails to reach a subsequent financing milestone or achieve profitability.

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SoftBank’s CEO Isn’t Alone in Questioning Elon Musk’s Orbital Data Center Claims

Elon Musk’s Orbital Data Centers: A Skeptical Look from Industry Leaders

Not everyone is buying Elon Musk’s vision for orbital data centers.

Masayoshi Son’s Candid Assessment

At a recent shareholder gathering, Masayoshi Son, CEO of SoftBank, expressed doubt about the feasibility of space-based data centers. He emphasized the urgency of AI advancements, stating that the next few years are critical compared to potential advances a decade down the road.

Insights from TechCrunch’s Equity Podcast

In a recent episode of TechCrunch’s Equity podcast, experts discussed Son’s perspectives alongside other trending topics, including OpenAI’s new custom chips and Groq’s recent $650 million funding round.

Kirsten Korosec pointed out the irony of Son’s skepticism given SoftBank’s history of high-risk investments.

SpaceX: A Guaranteed Demand for Launch Services

Sean O’Kane remarked that Musk’s ambitions to create a satellite constellation merely serve to increase business for SpaceX’s launch services. The need for constant satellite replacement ensures ongoing business opportunities.

Key Takeaways from Our Podcast Discussion

Sean O’Kane: “Neo-clouds are the new oil, and everyone is pivoting to capitalize on this. TechCrunch is now embracing the neo-cloud trend—let’s bring on your investment!”

He added that the competitive landscape is crowded, with various players like Groq and Allbirds shifting towards providing computing resources.

Sean noted SpaceX’s strategy of renting computing power and forming partnerships, including a recent deal with Reflection AI.

Masayoshi Son’s Concerns About Orbital Data Centers

Anthony Ha: Discussing Son’s skepticism, he pointed out that the industry is heavily constrained by computing resources, questioning the practicality of data centers in space.

Son’s comments reflect larger concerns about the timelines and costs of these proposed solutions, underscoring that immediate data center needs must be addressed here on Earth.

The Irony of SoftBank’s History

Kirsten Korosec: “It’s ironic that Son, known for making bold bets, questions the viability of orbital data centers—an idea previously dismissed by many.”

Challenges in Space-Based Ventures

Sean: He noted how engineering and economic hurdles will play a significant role in shaping these space endeavors.

To underscore his point, he observed that SpaceX’s substantial reliance on Starlink drives a considerable share of the launch market.

Computing Power and Market Realities

Kirsten: SpaceX’s computing rentals play a significant role in its business model, pointing to the necessity of considering all aspects of the tech landscape.

Anthony: He highlighted that discussions about future tech innovations often reflect the interests of those proposing them, noting that executives might have biases in their projections.

As the world contemplates the future of AI and its implications, it’s essential to consider the specific agendas of industry leaders and investors.

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Here are five FAQs regarding the situation with Elon Musk’s orbital data center hype, particularly in relation to SoftBank’s CEO’s inquiries:

FAQs

1. What is the concept behind Elon Musk’s orbital data centers?

Answer: Elon Musk proposes the idea of establishing data centers in orbit to leverage low-latency connections for internet services. This would enhance global connectivity, especially in remote areas, by utilizing satellite technology.

2. Why is SoftBank’s CEO questioning the feasibility of Elon Musk’s plan?

Answer: SoftBank’s CEO is concerned about the technical and financial viability of building and maintaining orbital data centers. Questions arise regarding the infrastructure required, the cost of launching and sustaining such facilities, and whether the projected benefits can outweigh these investments.

3. What are the potential benefits of orbital data centers?

Answer: Orbital data centers could offer reduced latency for internet services, improved global coverage, and the ability to process and store vast amounts of data closer to end-users. This could be particularly advantageous for applications in areas like AI, gaming, and real-time communications.

4. What technical challenges might arise with deploying data centers in space?

Answer: Key challenges include extreme environments in space (radiation, temperature fluctuations), the need for constant power supply (solar energy), and complex logistics for maintenance and upgrades. Additionally, establishing reliable connections with ground stations poses significant difficulties.

5. How might the skepticism from industry leaders like SoftBank’s CEO impact the future of this initiative?

Answer: Skepticism from industry leaders can lead to increased scrutiny and caution in investing resources into such ambitious projects. It may encourage Musk to provide more detailed plans and data to support the initiative, potentially fostering collaboration or reevaluation within the tech and aerospace sectors.

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Contrary to Predictions, AI Data Shows Engineering Jobs Are More Resilient Than Ever

Is AI Really Replacing Jobs? A Closer Look at Engineering Trends

The debate over AI’s impact on employment is heating up.

Tech Layoffs Claim High Numbers, But What’s the Real Cause?

In May, tech layoffs soared to their highest single-month total in years, with AI cited as a leading reason, according to outplacement firm Challenger, Gray & Christmas.

Is Software Engineering Really At Risk?

While software engineering appears to be the most susceptible to automation due to the rise of AI-driven coding tools, venture firm SignalFire suggests otherwise.

Asher Bantock, SignalFire’s head of research, noted, “Many layoffs are attributed to AI—specifically AI’s capacity in coding. The claim is that one engineer can accomplish what used to require several.” However, evidence from the ground doesn’t align with this narrative.

Engineering Jobs Defy Layoff Trends

SignalFire’s extensive analysis, tracking millions of careers across over 80 million companies, indicates that engineering remains one of the most resilient job functions as of 2025. Instead of solely focusing on layoffs, which can be misrepresented due to delays in employment updates, they examined hiring data as a clearer indicator of workforce trends.

While overall hiring in large tech firms fell 25% from 2019 levels, engineering roles experienced a much smaller decline of just 11%, according to SignalFire’s latest “State of Talent Report.”

Engineers Are Now More In-Demand Than Ever

Engineers represented 55% of new hires in 2025 across the 12 major tech companies analyzed by SignalFire—including giants like Alphabet, Apple, and Amazon—up from 46% in 2019.

The necessity for engineers was even more pronounced among early-stage startups, which onboarded 7% more engineers in 2025 compared to 2019, according to SignalFire’s data.

Contradictions in AI-Driven Layoffs

If AI were genuinely replacing engineering roles, Bantock argues, we would have witnessed quicker declines in engineering hiring during this tech downturn. Instead, SignalFire’s findings reveal that engineering roles are expanding at a faster pace than other tech positions.

The AI Job Landscape: Hype vs. Reality

Despite concerns from leaders like Anthropic CEO Dario Amodei—who warned that AI could eliminate up to half of entry-level white-collar jobs—Peter McCrory, the company’s head of economics, stated in March that significant workforce changes driven by AI have yet to manifest.

McCrory pointed out, “Unemployment rates show no significant difference among workers using AI for core tasks compared to those in less AI-exposed roles that require physical skills.”

Nvidia CEO’s Perspective on AI in Engineering

Nvidia CEO Jensen Huang has vocally refuted the notion that AI will eliminate engineering jobs. In an interview, he claimed that AI tools have actually made engineers more productive. “With every engineer at Nvidia utilizing agentic AI,” he remarked, “they’re busier than ever.”

Huang emphasized that while AI can generate code quickly, it also challenges engineers to innovate continuously.

The Jevons Paradox: A New Era for Engineers

Currently, it appears that in the age of AI, engineering exemplifies the Jevons Paradox—the idea that greater efficiency does not diminish demand; rather, it amplifies it. As Bantock explained, “Engineers are suddenly much more productive, and there’s an endless array of tasks for them to tackle.”

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Here are five FAQs with answers regarding the impact of AI on engineering jobs:

FAQ 1: Why was there concern that AI would kill engineering jobs?

Answer: Concerns arose from the rapid advancements in AI technology, which many believed could automate complex tasks traditionally performed by engineers. People worried that AI might lead to job displacement in sectors where design, analysis, and problem-solving are essential.

FAQ 2: What does the new data suggest about engineering jobs?

Answer: Recent data indicates that engineering jobs are not only resilient to automation but may also evolve to incorporate AI tools, enhancing productivity and innovation. Engineers are increasingly required to work alongside AI systems, leveraging their creativity and critical thinking in ways machines cannot replicate.

FAQ 3: How is AI transforming the role of engineers?

Answer: AI is transforming engineering roles by automating routine tasks and providing advanced data analysis. This allows engineers to focus on more complex problem-solving, design innovation, and strategic decision-making, thereby enhancing their overall value in the workforce.

FAQ 4: What skills should engineers develop to stay relevant in an AI-driven job market?

Answer: Engineers should focus on developing skills in areas such as AI and machine learning, data analysis, and interdisciplinary collaboration. Additionally, honing soft skills like creativity, critical thinking, and adaptability will be crucial as the industry continues to evolve.

FAQ 5: Are there sectors where engineering jobs are particularly resilient to AI?

Answer: Yes, sectors such as civil engineering, aerospace, and biomedical engineering show strong resilience due to the complexity and necessity of human oversight in design, ethical considerations, and hands-on problem-solving. In these areas, personal expertise and nuanced judgment remain irreplaceable by AI.

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OpenAI Launches Lockdown Mode to Safeguard Sensitive Data from Prompt Injection Threats

OpenAI Introduces Lockdown Mode to Enhance Chatbot Security

OpenAI has released a new feature called Lockdown Mode, designed to bolster protection against prompt injection attacks—where harmful instructions are concealed within webpages and other content.

Understanding Lockdown Mode’s Key Features

Lockdown Mode comes with several restrictions, including disabling live web browsing (allowing access only to cached content), preventing the retrieval and display of images from the internet (though image generation remains possible), halting deep research capabilities, and disabling agent mode.

Limitations and Vulnerabilities of Lockdown Mode

OpenAI cautions that even with Lockdown Mode activated, ChatGPT might still be susceptible to prompt injections. These could originate from cached web content or uploaded files, potentially impacting the accuracy or behavior of the chatbot’s responses.

Aiming for Increased Data Security

The primary aim of Lockdown Mode is to minimize the risk of sensitive data being inadvertently shared during interactions.

Who Should Use Lockdown Mode?

OpenAI clarifies that Lockdown Mode is not intended for everyone. It is specifically designed for individuals and organizations dealing with sensitive data who seek enhanced protection against data exfiltration risks associated with prompt injection attacks.

Availability of Lockdown Mode

The rollout of Lockdown Mode is currently underway for self-serve ChatGPT Business accounts as well as eligible personal accounts.

Sure! Here are five FAQs regarding OpenAI’s Lockdown Mode designed to protect sensitive data from prompt injection attacks:

FAQ 1: What is Lockdown Mode?

Answer: Lockdown Mode is a security feature introduced by OpenAI to enhance the protection of sensitive data. It addresses concerns related to prompt injection attacks, which can manipulate AI outputs to reveal confidential information.

FAQ 2: How does Lockdown Mode work?

Answer: Lockdown Mode works by restricting certain functionalities that could be exploited in prompt injection scenarios. It limits the model’s ability to access or process sensitive data, ensuring that interactions remain secure and confidential.

FAQ 3: Who can use Lockdown Mode?

Answer: Lockdown Mode is available to developers and organizations utilizing OpenAI’s API. It is especially recommended for businesses handling sensitive or proprietary information to safeguard against potential data breaches.

FAQ 4: What types of sensitive data are protected by Lockdown Mode?

Answer: Lockdown Mode helps protect a variety of sensitive data, including personal identifiable information (PII), confidential business information, and any specific data that could be misused in prompt injection attacks.

FAQ 5: How can I enable Lockdown Mode for my application?

Answer: To enable Lockdown Mode, developers can access the security settings within their OpenAI API dashboard. Detailed guidelines and documentation provided by OpenAI explain the steps to implement this mode effectively in their applications.

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Erin Brockovich Targets Data Center Secrecy

Erin Brockovich Advocates for Transparency in Data Center Development

Championing Community Awareness

Environmental activist Erin Brockovich is on a new mission: to enhance transparency surrounding the construction of data centers and their effects on nearby communities.

Mapping the Future of Data Centers

Brockovich, famously portrayed by Julia Roberts in a film depicting her legal battles against Pacific Gas & Electric, has recently launched a website featuring a comprehensive map of data centers throughout the United States.

Community Input Shapes Data Center Insights

The website describes the map as a “work in progress,” incorporating reports from those living in proximity to the data centers. In a Substack post, Brockovich revealed that after inviting reports about data center-related issues in April, she received nearly 4,000 submissions within the first month.

Transparency: The Key Community Concern

Brockovich highlighted that the most significant concern echoed throughout these submissions was not noise, water consumption, or increasing utility bills, but one crucial word: transparency.

Addressing the Underlying Issues

Importantly, Brockovich clarified that she isn’t entirely opposing data centers or AI; rather, she aims to address the concerning trends reflected in her map. This includes projects being announced only after permits are obtained, unresponsive developers, and local officials who have signed NDAs before informing their communities about potential developments.

Certainly! Here are five FAQs regarding the topic of Erin Brockovich’s stance on data center secrecy:

FAQ 1: Who is Erin Brockovich?

Answer: Erin Brockovich is an American environmental activist and consumer advocate best known for her role in a legal case against Pacific Gas and Electric Company (PG&E) in the 1990s, which exposed the contamination of drinking water in Hinkley, California. She continues to advocate for environmental issues and corporate accountability.

FAQ 2: What is the main concern Erin Brockovich has regarding data centers?

Answer: Erin Brockovich’s main concern revolves around the lack of transparency and accountability in data center operations. She advocates for more stringent regulations to ensure that data centers do not harm the environment or public health and that they disclose their environmental impacts, including water usage and energy consumption.

FAQ 3: Why is data center secrecy an issue?

Answer: Data center secrecy is problematic because it often hides the potential negative impacts of these facilities on local communities and ecosystems. Without transparency, stakeholders cannot adequately assess the environmental and health risks associated with data centers, particularly in terms of resource usage and emissions.

FAQ 4: What actions is Erin Brockovich promoting to address data center secrecy?

Answer: Erin Brockovich is calling for stronger regulations that would require data centers to provide detailed information about their environmental impact, including energy consumption, water usage, and waste management. She encourages community engagement and advocacy to hold corporations accountable for their operations.

FAQ 5: How can individuals get involved in addressing data center secrecy?

Answer: Individuals can get involved by raising awareness about data center operations in their communities, urging local governments to enforce transparency regulations, and supporting environmental advocacy groups focused on corporate accountability in technology. Engaging in public forums or town hall meetings can also amplify their voices on this issue.

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Musk’s xAI Operating Almost 50 Unmonitored Gas Turbines at Its Mississippi Data Center

<div>
  <h2>Controversy Surrounds Elon Musk’s xAI and Unregulated Natural Gas Turbines in Mississippi</h2>

  <p id="speakable-summary" class="wp-block-paragraph">
    Elon Musk’s xAI operates nearly 50 natural gas turbines at its Mississippi data center, exploiting a loophole that currently exempts them from state regulation.
  </p>

  <h3>The Loophole: Mobile Turbines Evade Regulation</h3>
  <p class="wp-block-paragraph">
    These power plants are classified as “mobile” by Mississippi authorities because they are mounted on flatbed trailers, allowing them to bypass air pollution regulations for an entire year. The NAACP has filed a lawsuit on behalf of local residents, claiming that the unchecked emissions from these turbines are degrading air quality in an already struggling region. This week, the organization sought a <a target="_blank" rel="nofollow" href="https://www.selc.org/press-release/naacp-asks-court-for-emergency-action-to-stop-illegal-air-pollution-from-xais-data-center-power-plant/">court injunction</a> against xAI.
  </p>

  <h3>Legal Implications of 'Mobile' Power Plants</h3>
  <p class="wp-block-paragraph">
    The crux of the issue lies in the “mobile” classification. The Southern Environmental Law Center, representing the NAACP, argues that these turbines are being operated contrary to federal law, which stipulates that power plants on trailers can still be classified as stationary and, therefore, must adhere to air pollution regulations.
  </p>

  <h3>Status of Permits and Operation</h3>
  <p class="wp-block-paragraph">
    xAI has secured permits for <a target="_blank" href="https://techcrunch.com/2025/07/03/xai-gets-permits-for-15-natural-gas-generators-at-memphis-data-center/">15 of its turbines</a>. A prior announcement from the Greater Memphis Chamber of Commerce indicated that “about half” of the 35 turbines operational in May 2025 would remain on site. However, xAI has continued expanding its operations and is now running 46 turbines, according to a <a target="_blank" rel="nofollow" href="https://mississippitoday.org/2026/05/11/xai-46-gas-turbines-no-air-permits/">local news report</a>.
  </p>
</div>

This structure organizes the content into an SEO-friendly format, enhancing both readability and search engine optimization.

Here are five FAQs regarding Musk’s xAI and its use of gas turbines at the Mississippi data center:

FAQ 1: What is Musk’s xAI?

Answer: Musk’s xAI is a company founded by Elon Musk focused on developing advanced artificial intelligence technologies. The company aims to create innovative AI solutions while addressing safety and ethical concerns.

FAQ 2: Why is xAI operating gas turbines at its Mississippi data center?

Answer: xAI is utilizing nearly 50 gas turbines at its Mississippi data center primarily for energy generation. These turbines provide a reliable and scalable power source to support the computational needs of AI workloads, ensuring efficient operation of their data processing capabilities.

FAQ 3: What are the environmental implications of using gas turbines at the data center?

Answer: Using gas turbines can have environmental impacts, as they produce emissions, albeit less than coal or oil-based systems. xAI may be exploring options to mitigate this, such as investing in carbon capture technology or transitioning to renewable energy sources to reduce its carbon footprint.

FAQ 4: Are the gas turbines at the data center regulated?

Answer: Yes, gas turbines are subject to regulatory controls and environmental standards set by federal and state authorities. xAI must adhere to these regulations to ensure compliance and minimize environmental impact while operating the turbines.

FAQ 5: What measures is xAI taking to ensure the safety of its gas turbine operations?

Answer: xAI implements various safety protocols, including regular maintenance, monitoring emissions, and utilizing advanced technologies to optimize turbine performance. Additionally, the company ensures that all operational practices meet regulatory safety standards to protect both personnel and the environment.

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