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Home»Interviews»Corvex Secures Lengthy-Time period NVIDIA H200 GPU Deployment with AI-driven Supplier of Excessive-Efficiency Battery Applied sciences to Help Manufacturing AI Workloads
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Corvex Secures Lengthy-Time period NVIDIA H200 GPU Deployment with AI-driven Supplier of Excessive-Efficiency Battery Applied sciences to Help Manufacturing AI Workloads

Editorial TeamBy Editorial TeamJanuary 23, 2026Updated:January 24, 2026No Comments3 Mins Read
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Corvex Secures Lengthy-Time period NVIDIA H200 GPU Deployment with AI-driven Supplier of Excessive-Efficiency Battery Applied sciences to Help Manufacturing AI Workloads
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Corvex, Inc., an AI cloud computing firm specializing in GPU-accelerated infrastructure for AI workloads, introduced a long-term GPU lease settlement with a longtime AI-driven supplier of high-performance battery applied sciences.

The deployment, a devoted cluster of NVIDIA H200 GPUs, will underpin the shopper’s core AI growth and analysis initiatives, together with proprietary algorithms. The shopper chosen Corvex for its superior general worth, confidential AI enablement to unlock market growth, and hyperscaler-class operations as in comparison with different AI cloud infrastructure suppliers.

Corvex’s structure of GPU clusters will present the shopper with excessive price-performance by maximizing compute density whereas sustaining elasticity and permitting flexibility for burst capability throughout peak demand intervals.

Corvex can also be enabling the shopper to increase its enterprise AI choices into probably the most security-conscious environments by a safe, managed on-premise answer. By architecting next-generation on-premise GPU clusters with hardware-enforced encryption, distant attestation, and payload-free telemetry, Corvex’s expertise permits the shopper to run delicate mannequin coaching and manufacturing inference workloads whereas assembly strict data-sovereignty, compliance, and IP-protection necessities, and to develop its market to enterprise prospects that can’t be served by public cloud infrastructure.

Additionally Learn: AiThority Interview with Zohaib Ahmed, co-founder and CEO at Resemble AI

Corvex can also be offering a totally managed, hyperscaler-class Kubernetes service with out the hyperscaler value or lock-in. Designed to simplify orchestration and get rid of the operational burden of sustaining advanced infrastructure, Corvex’s answer automates useful resource scheduling to maximise GPU utilization, scale back idle capability, and decrease infrastructure prices whereas sustaining flexibility to scale for peak mannequin coaching and manufacturing inference demand. The result’s a hyperscaler-grade GPU administration expertise at a meaningfully decrease value, enabling the shopper’s engineering crew to commit sources to constructing and deploying AI fashions reasonably than infrastructure administration.

“This deployment displays how main AI innovators are scaling manufacturing AI with out compromising economics, market entry, or operational velocity,” mentioned Jay Crystal, Co-Chief Government Officer of Corvex. “Corvex delivered main cost-per-compute for steady workloads, hyperscaler-class managed operations, and a custom-designed and confidential on-premise GPU answer that allows our buyer to develop into probably the most security-conscious environments.”

“We consider this transaction is reflective of the rising demand from AI mannequin builders and complex enterprises for safe GPU infrastructure that’s simple to make use of and less expensive than what has been supplied thus far,” mentioned Seth Demsey, Co-Chief Government Officer of Corvex. “Corvex is rapidly turning into a go-to platform for scaling safe AI workloads at enterprise scale.”

The transaction demonstrates Corvex’s continued progress and validates its dedication to delivering safe, high-performance AI infrastructure. Corvex’s structure, together with its managed Kubernetes platform, helps purpose-built security measures designed to safeguard delicate knowledge, whereas enabling prospects to function AI workloads in a devoted atmosphere that aligns with inner governance and compliance requirements.



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