QumulusAI (Nasdaq: QMLS) announced an agreement with an unnamed agentic hedge fund to monetize its reserve NVIDIA Blackwell GPU capacity. The deal combines market-rate compute pricing with a share of the fund’s quarterly trading profits, while QumulusAI has no exposure to trading losses.
The fully agentic hedge fund runs AI agents that discover, test, validate and deploy trading strategies with live capital on QumulusAI’s self-hosted, sovereign compute environment. This is QumulusAI’s first deployment of a new monetization strategy, differing from recent fixed-value, take-or-pay contracts by tying revenue to both compute consumption and trading performance.
QumulusAI (Nasdaq: QMLS) announced that CEO Mike Maniscalco will participate in the Needham Virtual AI Infrastructure 1x1 Conference on Wednesday, August 12, 2026. Management will hold 40-minute virtual one-on-one meetings with institutional investors to discuss hyper-distributed compute deployments and scaling cost-efficient infrastructure for AI inference platforms.
According to QumulusAI, the company has announced over $240 million in compute contracts since June and is actively delivering six customer deployments, several nearing completion and others expected to finish this quarter.
QumulusAI (Nasdaq: QMLS) announced it will ring the opening bell at the Nasdaq MarketSite in New York's Times Square on Wednesday, July 29. The live ceremony will be broadcast from 9:15 a.m. EDT on Nasdaq's bell-ringing webpage, marking a milestone for the neocloud infrastructure provider.
QumulusAI (Nasdaq: QMLS) signed a three-year agreement worth about $71.9 million to supply NVIDIA Blackwell B300 and B200 GPU capacity to an AI inference platform provider. The deal, which includes renewal options, is among the company’s largest customer commitments and will be served from its U.S. data centers.
Capacity for the customer’s large language, vision, and speech model workloads is expected to be ready in the third quarter of 2026. QumulusAI highlights its demand-led deployment model, using distributed colocation and owned facilities. Including this contract, the company reports announcing over $246 million in customer agreements since early June 2026.
QumulusAI (Nasdaq: QMLS) announced a signed two-year agreement valued at more than $32 million to supply NVIDIA Blackwell B300 GPU capacity to an AI inference platform provider focused on generative AI applications. The deal, which includes renewal options, is expected to bring capacity online in fall 2026.
Under the agreement, QumulusAI will deliver dedicated Blackwell B300 clusters from its U.S. data center footprint, adding a two-year commitment of more than $32 million to its book of business. The company highlighted that generative media workloads typically require sustained, dedicated compute, aligning with its demand-led, hyperdistributed deployment model.
QumulusAI (QMLS) announced a two-year, take-or-pay agreement valued at more than $18 million to supply NVIDIA Blackwell B300 GPU nodes to a GPU cloud marketplace serving AI teams in over 100 regions worldwide. The deal makes QumulusAI a core Blackwell supplier to this customer and adds the two-year commitment to its book of business.
Capacity will be delivered from QumulusAI’s active U.S. data center footprint, with initial deployments expected to go online this summer. The company uses a demand-led deployment model that brings GPU capacity online within months by leveraging available power across a distributed network of colocation sites.
QumulusAI (Nasdaq: QMLS) announced the purchase of 1,632 NVIDIA Blackwell B300 GPUs, delivered in 204 NVIDIA HGX B300 systems, marking one of its largest single capacity expansions. The order is primarily financed through arrangements with Technology Finance Corporation and USD.ai.
According to QumulusAI, the new capacity supports accelerating demand and more than $124 million in previously announced three-year inference agreements, as well as near-term pipeline needs. The order also includes 192 NVIDIA RTX PRO 6000 Blackwell GPUs, broadening workload coverage across training, inference and visualization. QumulusAI reports its deployed GPU fleet grew over 450% from June 2025 to June 2026.
QumulusAI (Nasdaq: QMLS) announced it has been approved as an NVIDIA Cloud Partner (NCP) within the NVIDIA Partner Network, enabling it to deploy NVIDIA AI infrastructure for training, fine-tuning, reinforcement learning, and large-scale inference. QumulusAI uses a distributed network of vetted co-location data centers and its F.A.C.T.S. framework (Flexibility, Access, Cost, Trust, Speed) to rapidly bring high-performance AI compute capacity online and scale it with customer demand.
QumulusAI (Nasdaq: QMLS), an inference-first AI cloud and neocloud infrastructure provider, announced that its common shares have begun trading on the Nasdaq Global Market under the ticker symbol QMLS. The listing marks the company’s entry into the public markets.
According to QumulusAI, its platform focuses on distributed, demand-proximate AI infrastructure, rapidly bringing GPU compute online “in months, not years” to support AI inference, training, and agentic workloads. The company highlights a vertically integrated, highly flexible, distributed infrastructure strategy aimed at addressing the shortage of AI compute for massive-scale enterprise use cases. Copies of the final prospectus for the registration are available via the SEC website.
QumulusAI (Nasdaq: QMLS) expects its common stock to begin trading on the Nasdaq Global Market tomorrow, Thursday, July 16, 2026, via a direct listing under ticker symbol “QMLS.”
The listing follows the U.S. Securities and Exchange Commission declaring QumulusAI’s Form S-1 registration statement effective on July 14, 2026. Chardan Capital Markets is serving as financial advisor. New investor materials, including an investor presentation on the company’s AI-focused neocloud infrastructure model, are available at investors.qumulusai.com.