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Alpha Compute Signs Two-Year, $32.2M Lease Agreement With An AI Laboratory For Its Inaugural Enterprise-Scale Nvidia B200 GPU Deployment, Including $16.1M In ARR
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The two-year agreement has a total contract value of $32.2 million and delivers $16.1 million in Annual Recurring Revenue (ARR) to Alpha Compute, with an expected upfront payment of $7.5 million securing the reservation of compute capacity for two years.

The agreement covers a dedicated cluster of 504 NVIDIA B200 GPUs — one of the most advanced GPU architectures available for large-scale AI training and inference workloads — providing the unnamed frontier AI laboratory with exclusive, high-performance compute access to accelerate its next-generation model development. The identity of the tenant, a recognized leader in frontier AI research, has not been disclosed for privacy. Alpha Compute expects to provide further details regarding the partnership as contractually permitted.

"This contract is a defining moment for Alpha Compute, confirming our belief that there is a massive global appetite for sovereign, specialized AI infrastructure," stated Alpha Compute CEO Brittany Kaiser. "Finalizing a $32.2 million deal with a leading AI research firm is a testament to our technical excellence, our robust Canadian data center presence, and the trust our clients have in our enterprise-grade delivery. We are establishing the foundation for the future AI economy, and this partnership is a clear signal of our success."

Yury Mitin, Chief Business Development Officer commented, "The 504-GPU B200 deployment represents Alpha Compute's first enterprise-scale customer agreement and marks a critical inflection point in the Company's commercial strategy. The NVIDIA B200 GPU delivers unprecedented performance for AI and HPC workloads, making it the preferred architecture for frontier model training at scale."

With $16.1 million in annual revenue now secured under contract, Alpha Compute is actively expanding its sales pipeline of enterprise compute agreements with AI laboratories, sovereign entities, and enterprise customers seeking dedicated, high-performance GPU infrastructure outside of traditional hyperscaler environments. 

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