Corvex, Inc., an AI cloud computing company focused on GPU-accelerated infrastructure for advanced AI workloads, has announced a long-term GPU lease agreement with a well-established AI-driven company specializing in high-performance battery technologies. This strategic deployment marks a significant step forward in supporting large-scale AI research and development while addressing the growing demand for secure, cost-efficient, and high-performance computing environments.

Under the agreement, Corvex will deploy a dedicated cluster of NVIDIA H200 GPUs to support the customer’s core AI development initiatives. These resources will directly power proprietary algorithms and advanced research programs that are central to the customer’s innovation roadmap. After evaluating multiple AI cloud infrastructure providers, the customer chose Corvex based on its strong overall value proposition, confidential AI enablement capabilities, and hyperscaler-class operational standards.

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In addition, Corvex’s GPU cluster architecture is designed to deliver exceptional price-performance. By maximizing compute density without sacrificing elasticity, the platform allows customers to scale efficiently while retaining the flexibility to access burst capacity during periods of peak demand. As a result, AI workloads can run continuously and reliably without unnecessary cost overhead.

Beyond cloud-based infrastructure, Corvex is also enabling the customer to extend its enterprise AI offerings into highly security-sensitive environments. Through a secure, fully managed on-premise solution, Corvex is architecting next-generation GPU clusters that incorporate hardware-enforced encryption, remote attestation, and payload-free telemetry. This approach allows sensitive model training and production inference workloads to run securely while meeting strict data sovereignty, compliance, and intellectual property protection requirements. Consequently, the customer can now expand into enterprise markets that are not able to rely on public cloud infrastructure.

Furthermore, Corvex is delivering a fully managed Kubernetes service that matches hyperscaler-grade performance without the associated cost or vendor lock-in. The platform simplifies orchestration and removes the operational burden of maintaining complex infrastructure. By automating resource scheduling, Corvex maximizes GPU utilization, minimizes idle capacity, and lowers overall infrastructure expenses. This enables engineering teams to focus on building and deploying AI models rather than managing backend systems.

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“This deployment reflects how leading AI innovators are scaling production AI without compromising economics, market access, or operational velocity,” said Jay Crystal, Co-Chief Executive Officer of Corvex. “Corvex delivered leading cost-per-compute for continuous workloads, hyperscaler-class managed operations, and a custom-designed and confidential on-premise GPU solution that enables our customer to expand into the most security-conscious environments.”

“We believe this transaction is reflective of the growing demand from AI model builders and sophisticated enterprises for secure GPU infrastructure that is easy to use and more cost-effective than what has been offered to date,” said Seth Demsey, Co-Chief Executive Officer of Corvex. “Corvex is quickly becoming a go-to platform for scaling secure AI workloads at enterprise scale.”

Overall, this transaction highlights Corvex’s continued momentum and reinforces its commitment to delivering secure, high-performance AI infrastructure. With purpose-built security features, a managed Kubernetes platform, and flexible deployment models, Corvex continues to support enterprises seeking to scale AI workloads in environments aligned with stringent governance and compliance standards.

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