AXE COMPUTE has secured a significant five-year contract worth $1.5 billion to construct and manage a large AI cluster using NVIDIA’s Blackwell technology in the US. This deal, which includes over 9,200 B300 GPUs, reflects the growing trend among enterprises to invest in dedicated AI infrastructure to ensure reliable capacity for demanding applications. With total signed contracts for 2026 exceeding $3 billion, the emphasis on rapid deployment and multi-year agreements is evident as companies aim to enhance their AI capabilities.

NVIDIA: NVIDIA Corporation designs and manufactures graphics processing units and AI accelerators, with its Blackwell architecture serving as the foundation for advanced AI training and inference systems. The company supplies the B300 GPUs powering the dedicated cluster in the recent Axe Compute contract. NVIDIA continues to play a central role in enabling large-scale AI infrastructure projects globally.
Axe Compute: Axe Compute Inc. is a publicly traded company focused on providing dedicated bare-metal GPU infrastructure for enterprise AI and machine learning workloads through its design-deploy-own-operate model. It recently secured a major multi-year contract to construct and operate a large-scale NVIDIA Blackwell AI cluster in the United States. The firm emphasizes rapid deployment and dedicated capacity for customers seeking alternatives to public cloud wait times.
AGP Unified Inc: AGP Unified Inc. operates as the entity behind the AGPU ticker and specializes in AI infrastructure services centered on high-performance GPU clusters. It has positioned itself in the enterprise compute market by signing contracts for dedicated Blackwell-based deployments. The company delivers build and operate solutions for large-scale AI workloads in the United States.

AI Infrastructure Growth: Enterprises are pursuing dedicated, owned AI clusters built on NVIDIA Blackwell technology to secure predictable capacity for demanding workloads.
Contract Execution Focus: Companies specializing in GPU infrastructure are emphasizing rapid deployment timelines and multi-year service agreements to support expanding AI operations.