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QumulusAI secures $18M GPU supply deal for Blackwell nodes By Investing.com
ATLANTA - QumulusAI announced a two-year supply agreement valued at more than $18 million to provide NVIDIA Blackwell B300 nodes to a GPU cloud marketplace serving AI teams in more than 100 regions, according to a press release statement. The take-or-pay contract designates QumulusAI as a supplier of Blackwell hardware to the customer, whose identity was not disclosed. Under the agreement, the customer commits to purchasing the specified capacity over the contract term. QumulusAI will deliver the capacity from its U.S. data center locations, with initial deployments expected this summer. The company operates through a distributed network of colocation sites. "Our customers are building the AI economy, and they choose their suppliers carefully," said Mike Maniscalco, CEO of QumulusAI. "A two-year commitment for our Blackwell capacity says it plainly." The Atlanta-based company describes itself as a neocloud infrastructure provider focused on AI computing. QumulusAI deploys GPU capacity across multiple data center sites rather than through centralized facilities. The press release included forward-looking statements noting risks including dependence on a limited number of large customers, availability and cost of power and specialized hardware, substantial capital requirements, competition in the AI markets, and the company's limited operating history and history of net losses. The company referenced its registration statement on Form S-1 filed with the Securities and Exchange Commission. QumulusAI did not disclose additional financial metrics or specify the number of Blackwell nodes covered under the agreement. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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QumulusAI orders 1,632 NVIDIA Blackwell B300 GPUs By Investing.com
ATLANTA - QumulusAI (NASDAQ:QMLS) announced Monday the purchase of 1,632 NVIDIA Blackwell B300 GPUs to be delivered across 204 NVIDIA HGX B300 systems, according to a press release statement. The purchase was funded primarily through financing arrangements with Technology Finance Corporation and USD.ai. The company described the order as one of its largest single capacity expansions. The move comes as QumulusAI, with a market cap of $469 million, posted revenue growth of ~74% over the last twelve months, though the company remains unprofitable. The order includes an additional 192 NVIDIA RTX PRO 6000 Blackwell GPUs. The B300 systems are designed for AI training and inference workloads. QumulusAI stated the purchase supports contracted customer demand, including more than $124 million in three-year inference agreements announced earlier this year. "Meeting AI demand today is a test of access, speed and flexibility, and you can't win on one without the other two," said Mike Maniscalco, CEO of QumulusAI. "Our model gives us the flexibility to source across multiple OEM partners such as Supermicro and Lenovo and to deploy across a national network of colocation and owned facilities." The company reported its deployed GPU fleet expanded by more than 450% from June 2025 to June 2026. QumulusAI operates as a distributed AI cloud platform provider. The company deploys GPU compute across multiple data center sites. The press release noted that demand for AI infrastructure continues to outpace supply in the market. Despite the expansion news, QMLS shares have declined 33% over the past week. InvestingPro subscribers have access to 10 additional key tips and comprehensive financial health metrics to evaluate the company's growth trajectory. In other recent news, QumulusAI has been approved as an NVIDIA Cloud Partner within the NVIDIA Partner Network. This development allows the company to deploy NVIDIA AI infrastructure for various workloads, including model training, fine-tuning, reinforced learning, and production-scale inference. This partnership positions QumulusAI to enhance its capabilities in AI computing as a neocloud infrastructure provider. The approval aligns with QumulusAI's focus on expanding its AI infrastructure offerings. This strategic move could potentially bolster the company's operational capacity in AI-driven services. The announcement was made via a press release, highlighting the company's ongoing efforts to strengthen its technological partnerships. Such partnerships are crucial for companies operating in rapidly evolving tech sectors. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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QumulusAI Acquires 1,632 Nvidia Blackwell B300 GPUs
QumulusAI, Inc. is a distributed artificial intelligence (AI) cloud platform that delivers accelerated access to high-performance graphics processing unit (GPU) compute. Its platform delivers customizable solutions for underserved small and mid-market customers, including machine learning teams, AI infrastructure startups, and research institutions, while also supporting the scale and complexity requirements of large enterprises. Its GPUs include B300 SXM6, B200 SXM, RTX Pro 6000, H200 SXM, H100 SXM, H100 NVL and L4. Its solutions include enterprise, research and AI startups. QumulusAI Cloud delivers access to shared and dedicated GPUs as well as bare metal clusters. Its QumulusAI cloud compute ecosystem combines proprietary software and cloud services, developed in collaboration with technology partners, to optimize AI workflows at scale. It operates in multiple colocation data centers in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado, and Philadelphia, Pennsylvania.
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QumulusAI secured an $18 million two-year GPU supply deal with an undisclosed cloud marketplace customer while ordering 1,632 NVIDIA Blackwell B300 GPUs. The Atlanta-based neocloud infrastructure provider is expanding capacity by over 450% to meet surging AI demand, though shares have declined 33% recently amid profitability concerns.
QumulusAI announced a two-year supply agreement valued at more than $18 million to provide NVIDIA Blackwell B300 nodes to a GPU cloud marketplace serving AI teams in over 100 regions
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. The take-or-pay contract designates the Atlanta-based company as a supplier of Blackwell hardware to an undisclosed customer who commits to purchasing the specified capacity over the contract term. QumulusAI will deliver the capacity from its U.S. data center locations, with initial deployments expected this summer.The GPU supply deal comes as the neocloud infrastructure provider positions itself to capitalize on surging AI demand that continues to outpace supply in the AI compute market. "Our customers are building the AI economy, and they choose their suppliers carefully," said Mike Maniscalco, CEO of QumulusAI. "A two-year commitment for our Blackwell capacity says it plainly"
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.In a separate announcement, QumulusAI revealed the purchase of 1,632 NVIDIA Blackwell B300 GPUs to be delivered across 204 NVIDIA HGX B300 systems, marking one of its largest single capacity expansions
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. The order also includes an additional 192 NVIDIA RTX PRO 6000 Blackwell GPUs designed for AI training and inference workloads. The purchase was funded primarily through financing arrangements with Technology Finance Corporation and USD.ai, demonstrating the company's ability to secure capital for high-performance computing capabilities expansion.QumulusAI stated the purchase supports contracted customer demand, including more than $124 million in three-year inference agreements announced earlier this year
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. The company reported its deployed GPU fleet expanded by more than 450% from June 2025 to June 2026, reflecting aggressive growth in response to market demand.As a distributed AI cloud platform, QumulusAI delivers accelerated access to GPU compute through a network of colocation data centers in Marietta, Georgia; Kansas City, Missouri; Denver, Colorado; and Philadelphia, Pennsylvania
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. The company operates through multiple colocation sites rather than centralized facilities, offering customizable solutions for underserved small and mid-market customers while supporting the scale requirements of large enterprises."Meeting AI demand today is a test of access, speed and flexibility, and you can't win on one without the other two," Maniscalco explained. "Our model gives us the flexibility to source across multiple OEM partners such as Supermicro and Lenovo and to deploy across a national network of colocation and owned facilities"
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. QumulusAI Cloud delivers access to shared and dedicated GPUs as well as bare metal clusters for model training, fine-tuning, and production-scale inference.Related Stories
Despite the expansion momentum, QumulusAI faces financial headwinds. The company, with a market cap of $469 million, posted revenue growth of approximately 74% over the last twelve months but remains unprofitable
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. Shares have declined 33% over the past week, reflecting investor concerns about the company's path to profitability amid substantial capital requirements.The company's forward-looking statements acknowledge risks including dependence on a limited number of large customers, availability and cost of power and specialized hardware, competition in AI markets, and its limited operating history and history of net losses
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. QumulusAI's recent approval as an NVIDIA Cloud Partner within the NVIDIA Partner Network positions the company to deploy NVIDIA AI infrastructure for various workloads, potentially strengthening its competitive position as AI infrastructure demand continues to accelerate2
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