
The agreement marks the company’s first deployment of a new monetization strategy for its reserve NVIDIA Blackwell GPU capacity, pairing market-rate compute revenue with a share of the customer’s trading profits and no

<p xmlns="http://www.w3.org/1999/xhtml">
<i xmlns="http://www.w3.org/1999/xhtml">The agreement marks the company’s first deployment of a new monetization strategy for its reserve NVIDIA Blackwell GPU capacity, pairing market-rate compute revenue with a share of the customer’s trading profits and no exposure to trading losses.</i>

</p><p xmlns="http://www.w3.org/1999/xhtml">
QumulusAI (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/QMLS">QMLS</a>), a neocloud infrastructure provider purpose-built for the AI computing era, today announced an agreement with an agentic hedge fund. QumulusAI negotiated market-rate compute pricing for the fund’s usage along with a share of its quarterly trading profits, with no exposure to trading losses.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The customer operates a fully agentic hedge fund whose specialized AI agents discover, test, validate and deploy trading strategies with live capital, around the clock, on QumulusAI’s self-hosted, sovereign compute environment utilizing NVIDIA Blackwell GPU capacity to support the fund’s around-the-clock trading operations.

</p><p xmlns="http://www.w3.org/1999/xhtml">
This agreement represents the first deployment of a new monetization strategy for those assets, combining market-rate compute revenue with a share of trading profits while providing no exposure to trading losses. The structure differs from the fixed-value, take-or-pay agreements QumulusAI has announced in recent weeks: rather than a set contract value, revenue under this agreement will vary with both the compute the fund consumes and the trading performance it generates within the profit-sharing threshold. While there can be no assurance that the strategy will improve profitability, management believes it has the potential to increase the economic value QumulusAI generates from its reserve capacity over time.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"Financial markets move in milliseconds, and those trading them need infrastructure that can keep pace," said Michael Maniscalco, CEO of QumulusAI. "A fully agentic hedge fund that is discovering, testing, validating and acting on strategies around the clock needs self-hosted, sovereign compute built for that pace."

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About QumulusAI</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
QumulusAI is a distributed AI cloud platform that delivers accelerated access to high-performance GPU compute. Through an inference-first, demand-led deployment model across a network of data center sites, QumulusAI brings compute closer to customer demand, helping AI teams and enterprises scale production AI workloads with speed, flexibility and control. By combining rapid deployment with flexible private cloud infrastructure, QumulusAI gives customers a faster, more adaptable path beyond the capacity constraints of traditional centralized and hyperscale cloud models. Learn more at QumulusAI.com.

</p><p xmlns="http://www.w3.org/1999/xhtml">
Follow us on <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqumulusai%2Fposts%2F%3FfeedView%3Dall&amp;esheet=54585633&amp;newsitemid=20260807998077&amp;lan=en-US&amp;anchor=LinkedIn&amp;index=1&amp;md5=0970aa8bfd4492f51d08dbfe6712bffa" shape="rect">LinkedIn</a> and X <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fx.com%2FQumulusAI&amp;esheet=54585633&amp;newsitemid=20260807998077&amp;lan=en-US&amp;anchor=%40QumulusAI&amp;index=2&amp;md5=c01da38fe41c52e704994919ae0be0c0" shape="rect">@QumulusAI</a>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Forward-Looking Statements</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the agreement and its anticipated terms — including the compute pricing and the profit-sharing arrangement negotiated with the customer — the company’s ability to serve the agreement’s NVIDIA Blackwell GPU capacity requirements from its self-hosted, sovereign compute environment, management’s belief regarding the potential of its new reserve-capacity monetization strategy to increase the economic value generated from that capacity over time, and the customer’s continued use of that environment for its trading operations. Words such as "anticipate," "believe," "estimate," "expect," "guidance," "intend," "can," "may," "on track," "plan," "project," "target," "will" and similar expressions are intended to identify forward-looking statements. These statements are based on management&#39;s current expectations and assumptions as of the date of this release and are subject to risks and uncertainties that could cause actual results to differ materially, including, among others, the company&#39;s dependence on a limited number of large customers; the availability and cost of power, network connectivity and specialized hardware such as graphics processing units; the company&#39;s substantial capital requirements and access to financing; competition and rapid technological change in the high-performance computing and AI markets; the company&#39;s limited operating history and history of net losses; and those described in the "Risk Factors" section of the company&#39;s registration statement on Form S-1, as amended (File No. 333-292514), filed with the U.S. Securities and Exchange Commission (SEC), as such factors may be updated in the company&#39;s subsequent filings with the SEC. QumulusAI undertakes no obligation to update or revise any forward-looking statement, whether as a result of new information, future developments or otherwise, except as required by applicable law.

</p><p xmlns="http://www.w3.org/1999/xhtml"><img xmlns="http://www.w3.org/1999/xhtml" alt="" src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260807998077r1&amp;sid=benz2&amp;distro=nx&amp;lang=en" style="width:0;height:0"></img><span xmlns="http://www.w3.org/1999/xhtml" class="bwct31415"></span></p><p xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink"><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-phrase">View source version on businesswire.com: </span><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-link"><a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260807998077/en/" rel="nofollow">https://www.businesswire.com/news/home/20260807998077/en/</a></span></p><p xmlns="http://www.w3.org/1999/xhtml">
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</p>

QMLS

QumulusAI Signs Agreement With Agentic Hedge Fund To Provide NVIDIA Blackwell GPU Capacity

QumulusAI launches profit-sharing monetization for NVIDIA GPU capacity

<section class="insight" data-version="1">
  <section data-block="information">
    <h3>Information</h3>
    <p>The agreement marks the company’s first deployment of a new monetization strategy for its reserve NVIDIA Blackwell GPU capacity, pairing market-rate compute revenue with a share of the customer’s trading profits and no</p>
  </section>

  <section data-block="ai-summary-paragraph">
    <h3>AI Summary</h3>
    <p>QumulusAI announced its first deployment of a new monetization strategy—selling market-rate GPU compute with a share of the customer’s trading profits and no loss exposure. The deal with an agentic hedge fund tests a scalable model that could lift value from reserve capacity if adoption broadens, though profitability depends on fund performance and demand for sovereign compute.</p>
  </section>

  <section data-block="ai-summary-bullets">
    <h3>Key Points</h3>
    <ul><li>QumulusAI inks first monetization deal for NVIDIA Blackwell GPU capacity.</li><li>Monetization combines market-rate compute revenue with a share of profits; no loss exposure.</li><li>Agreement with a fully agentic hedge fund enabling 24/7 live trading.</li><li>Revenue will vary with compute usage and trading performance.</li><li>Strategy could boost value from reserve capacity if scalable.</li></ul>
  </section>

  <section data-block="companies-mentioned">
    <h3>Companies Mentioned</h3>
    <ul><li><strong>QumulusAI (QMLS)</strong>: Announced first monetization deal; potential upside from reserve capacity; revenue linked to performance.</li><li><strong>NVIDIA (NVDA)</strong>: Provider of Blackwell GPUs; demand/supply dynamics can affect QumulusAI&#039;s capacity and pricing.</li></ul>
  </section>

  <section data-block="category">
    <h3>Corporate Developments</h3>
    <p>Category: Corporate Developments. The release describes a strategic monetization contract and new revenue model, not a traditional earnings update, highlighting potential upside from idle capacity and operational leverage.</p>
  </section>

  <section data-block="market-moving">
    <h3>Market-Moving</h3>
    <ul><li>First profit-sharing contract expands QumulusAI&#039;s revenue model beyond fixed pricing.</li><li>Upside hinges on hedge-fund trading results and compute intensity.</li><li>NVIDIA Blackwell GPU demand and power costs could influence margins.</li><li>Execution risk: relies on secure self-hosted, sovereign compute environment.</li></ul>
  </section>

  <section data-block="key-facts">
    <h3>Key Facts</h3>
    <ul><li>First deployment of the new reserve-capacity monetization strategy.</li><li>Agreement with a fully agentic hedge fund for market-rate compute plus profit share.</li><li>Revenue tied to compute usage and trading profits; no trading-loss exposure.</li><li>Compute delivered on QumulusAI&#039;s self-hosted, sovereign compute environment.</li><li>Uses NVIDIA Blackwell GPU capacity to support around-the-clock trading operations.</li></ul>
  </section>

  <section data-block="trading-thesis">
    <h3>Trading Thesis</h3>
    <p>Bullish over 6–12 months if the model scales and attracts additional clients.</p>
  </section>
</section>


<p xmlns="http://www.w3.org/1999/xhtml">
<i xmlns="http://www.w3.org/1999/xhtml">The agreement marks the company’s first deployment of a new monetization strategy for its reserve NVIDIA Blackwell GPU capacity, pairing market-rate compute revenue with a share of the customer’s trading profits and no exposure to trading losses.</i>

</p><p xmlns="http://www.w3.org/1999/xhtml">
QumulusAI (NASDAQ:<a class="ticker" href="https://www.benzinga.com/quote/QMLS">QMLS</a>), a neocloud infrastructure provider purpose-built for the AI computing era, today announced an agreement with an agentic hedge fund. QumulusAI negotiated market-rate compute pricing for the fund’s usage along with a share of its quarterly trading profits, with no exposure to trading losses.

</p><p xmlns="http://www.w3.org/1999/xhtml">
The customer operates a fully agentic hedge fund whose specialized AI agents discover, test, validate and deploy trading strategies with live capital, around the clock, on QumulusAI’s self-hosted, sovereign compute environment utilizing NVIDIA Blackwell GPU capacity to support the fund’s around-the-clock trading operations.

</p><p xmlns="http://www.w3.org/1999/xhtml">
This agreement represents the first deployment of a new monetization strategy for those assets, combining market-rate compute revenue with a share of trading profits while providing no exposure to trading losses. The structure differs from the fixed-value, take-or-pay agreements QumulusAI has announced in recent weeks: rather than a set contract value, revenue under this agreement will vary with both the compute the fund consumes and the trading performance it generates within the profit-sharing threshold. While there can be no assurance that the strategy will improve profitability, management believes it has the potential to increase the economic value QumulusAI generates from its reserve capacity over time.

</p><p xmlns="http://www.w3.org/1999/xhtml">
"Financial markets move in milliseconds, and those trading them need infrastructure that can keep pace," said Michael Maniscalco, CEO of QumulusAI. "A fully agentic hedge fund that is discovering, testing, validating and acting on strategies around the clock needs self-hosted, sovereign compute built for that pace."

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">About QumulusAI</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
QumulusAI is a distributed AI cloud platform that delivers accelerated access to high-performance GPU compute. Through an inference-first, demand-led deployment model across a network of data center sites, QumulusAI brings compute closer to customer demand, helping AI teams and enterprises scale production AI workloads with speed, flexibility and control. By combining rapid deployment with flexible private cloud infrastructure, QumulusAI gives customers a faster, more adaptable path beyond the capacity constraints of traditional centralized and hyperscale cloud models. Learn more at QumulusAI.com.

</p><p xmlns="http://www.w3.org/1999/xhtml">
Follow us on <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fqumulusai%2Fposts%2F%3FfeedView%3Dall&amp;esheet=54585633&amp;newsitemid=20260807998077&amp;lan=en-US&amp;anchor=LinkedIn&amp;index=1&amp;md5=0970aa8bfd4492f51d08dbfe6712bffa" shape="rect">LinkedIn</a> and X <a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="https://cts.businesswire.com/ct/CT?id=smartlink&amp;url=https%3A%2F%2Fx.com%2FQumulusAI&amp;esheet=54585633&amp;newsitemid=20260807998077&amp;lan=en-US&amp;anchor=%40QumulusAI&amp;index=2&amp;md5=c01da38fe41c52e704994919ae0be0c0" shape="rect">@QumulusAI</a>.

</p><p xmlns="http://www.w3.org/1999/xhtml">
<b xmlns="http://www.w3.org/1999/xhtml">Forward-Looking Statements</b>

</p><p xmlns="http://www.w3.org/1999/xhtml">
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding the agreement and its anticipated terms — including the compute pricing and the profit-sharing arrangement negotiated with the customer — the company’s ability to serve the agreement’s NVIDIA Blackwell GPU capacity requirements from its self-hosted, sovereign compute environment, management’s belief regarding the potential of its new reserve-capacity monetization strategy to increase the economic value generated from that capacity over time, and the customer’s continued use of that environment for its trading operations. Words such as "anticipate," "believe," "estimate," "expect," "guidance," "intend," "can," "may," "on track," "plan," "project," "target," "will" and similar expressions are intended to identify forward-looking statements. These statements are based on management&#39;s current expectations and assumptions as of the date of this release and are subject to risks and uncertainties that could cause actual results to differ materially, including, among others, the company&#39;s dependence on a limited number of large customers; the availability and cost of power, network connectivity and specialized hardware such as graphics processing units; the company&#39;s substantial capital requirements and access to financing; competition and rapid technological change in the high-performance computing and AI markets; the company&#39;s limited operating history and history of net losses; and those described in the "Risk Factors" section of the company&#39;s registration statement on Form S-1, as amended (File No. 333-292514), filed with the U.S. Securities and Exchange Commission (SEC), as such factors may be updated in the company&#39;s subsequent filings with the SEC. QumulusAI undertakes no obligation to update or revise any forward-looking statement, whether as a result of new information, future developments or otherwise, except as required by applicable law.

</p><p xmlns="http://www.w3.org/1999/xhtml"><img xmlns="http://www.w3.org/1999/xhtml" alt="" src="https://cts.businesswire.com/ct/CT?id=bwnews&amp;sty=20260807998077r1&amp;sid=benz2&amp;distro=nx&amp;lang=en" style="width:0;height:0"></img><span xmlns="http://www.w3.org/1999/xhtml" class="bwct31415"></span></p><p xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink"><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-phrase">View source version on businesswire.com: </span><span xmlns="http://www.w3.org/1999/xhtml" id="mmgallerylink-link"><a xmlns="http://www.w3.org/1999/xhtml" href="https://www.businesswire.com/news/home/20260807998077/en/" rel="nofollow">https://www.businesswire.com/news/home/20260807998077/en/</a></span></p><p xmlns="http://www.w3.org/1999/xhtml">
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</b><br xmlns="http://www.w3.org/1999/xhtml"></br><a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:investors@qumulusai.com" shape="rect">investors@qumulusai.com</a>

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<b xmlns="http://www.w3.org/1999/xhtml">Media Contact 
</b><br xmlns="http://www.w3.org/1999/xhtml"></br><a xmlns="http://www.w3.org/1999/xhtml" rel="nofollow" href="mailto:media@qumulusai.com" shape="rect">media@qumulusai.com</a>

</p>

QumulusAI announced its first deployment of a new monetization strategy—selling market-rate GPU compute with a share of the customer’s trading profits and no loss exposure. The deal with an agentic hedge fund tests a scalable model that could lift value from reserve capacity if adoption broadens, though profitability depends on fund performance and demand for sovereign compute.

News insight

QumulusAI Signs Agreement With Agentic Hedge Fund To Provide NVIDIA Blackwell GPU Capacity

AI summary

Sentiment rationale

Key facts

Corporate Developments