January 23, 2026
Finance

Movano Shares Surge Following Major GPU Lease Agreement by Corvex

AI Infrastructure Expansion Drives Significant Pre-Market Trading Gains for Movano

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Summary

Movano Inc. (NASDAQ: MOVE) experienced a notable rise in stock price during pre-market trading on Friday. This movement follows an announcement by Corvex, Inc., an AI cloud computing entity recently merged with Movano, regarding a long-term lease deal involving NVIDIA H200 GPUs with a prominent AI-focused battery technology firm. The deal highlights Corvex's strategic positioning in providing high-powered, confidential, and flexible AI infrastructure solutions, which are expected to bolster AI research and deployment capabilities for its customer while maintaining security and efficiency.

Key Points

Movano’s premarket stock price surged by over 167% following an announcement linked to Corvex’s GPU lease agreement.
Corvex secured a long-term contract to provide NVIDIA H200 GPU clusters to a prominent AI-driven battery technology company.
The infrastructure solution offers high compute density, elasticity, and secure on-premise deployment options, appealing to clients requiring confidential and compliance-savvy AI environments.
Corvex’s managed Kubernetes service automates resource scheduling to optimize GPU use, reduce costs, and maintain scalability for peak AI workloads.

Movano Inc. (NASDAQ: MOVE) witnessed a substantial uptick in its stock valuation in pre-market trades Friday, reflecting investor enthusiasm linked to recent developments stemming from its merger with Corvex, Inc., a company specializing in AI cloud computing infrastructure.

On Thursday, Corvex unveiled that it had secured a long-term GPU lease arrangement with a well-established provider recognized for its AI-driven advancements in high-performance battery technologies. This strategic contract involves deploying a dedicated cluster outfitted with NVIDIA H200 GPUs, which are slated to be central to the customer's core AI research and development activities, particularly in building proprietary algorithmic frameworks.

The choice of Corvex by the client, according to company statements, was heavily influenced by several factors: the superior overall value presented by Corvex’s offerings, its ability to provide confidential AI enablement that facilitates entry into new markets, and operational capabilities comparable to leading hyperscalers but without the typical cost overheads associated with such providers.

Corvex’s infrastructure strategy revolves around maximizing effective compute density within GPU clusters while preserving elasticity. This flexibility allows the system to accommodate peak workload demands through burst capacity, ensuring responsiveness under variable and intensive AI computation loads.

Importantly, Corvex extends its services with a secure, managed on-premise solution, enabling the customer to deploy enterprise AI applications within environments requiring stringent security protocols. This offering represents a crucial feature for clients operating within highly controlled compliance frameworks.

Further elaborating on their infrastructure, Corvex provides a fully managed Kubernetes service designed to match the operational intensity and scale typical of hyperscale platforms but without the associated vendor lock-in or excessive costs. This setup simplifies orchestration and significantly reduces the operational complexities usually involved in managing advanced GPU infrastructure.

The company’s Kubernetes platform automates resource scheduling, optimizing GPU utilization by minimizing idle times and reducing infrastructure expenses. It also supports scaling capabilities essential for handling elevated demands during intensive model training phases and production-level inference processing.

Jay Crystal, Co-Chief Executive Officer of Corvex, emphasized that this deployment illustrates how leading AI innovators can scale their production environments economically without sacrificing market opportunities, operational agility, or security standards. Crystal noted Corvex’s success in delivering competitive cost-per-compute for continuous workloads alongside hyperscaler-grade managed operations and bespoke secure on-premise GPU solutions.

This transaction marks a significant validation of Corvex’s ongoing expansion trajectory and its dedication to supporting secure, high-performance AI infrastructure solutions tailored to the complex requirements of enterprise clients. The architecture’s purpose-built security features are crucial in protecting sensitive data and ensuring compliance with internal governance and regulatory mandates.

With these strategic developments, Movano’s shares climbed sharply, up 167.10% to $18.51 in premarket trading on Friday, according to market data. This price movement reflects heightened market interest and confidence in the combined entity’s pathway in AI infrastructure services.

Risks
  • The successful deployment depends on maintaining high-performance GPU operations without interruption, which could pose operational challenges.
  • Client reliance on Corvex’s proprietary infrastructure and managed services entails risk if service quality or costs alter unfavorably.
  • Security and compliance features, while designed to meet strict standards, may face vulnerabilities or evolving regulatory requirements impacting client adoption.
  • Movano’s stock valuation volatility could remain elevated due to market responses to ongoing operational developments and external AI sector pressures.
Disclosure
Education only / not financial advice
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