Akamai Discloses Technical Details on AI Cluster Deal
Leveraging Nvidia GPU with RTX Server Edition
This is a Press Release edited by StorageNewsletter.com on March 27, 2026 at 2:01 pmThe deal underscores enterprise demand for Akamai’s integrated AI development and deployment platform and represents one of the world’s largest Nvidia Blackwell RTX PRO 6000 Server Edition clusters at scale. The GPU cluster is powered by an AI-optimized Ethernet networking platform, enabling non-blocking, lossless, and high-performance connectivity for large-scale AI factories and GPU-accelerated computing. Additionally, it leverages a high-performance, parallel file storage platform for linear scalability in AI and HPC workloads with NVMe-over-Fabric.
“This $200 million commitment is a powerful validation of our differentiated strategy to build a definitive global platform for the entire AI lifecycle,” said Adam Karon, COO and GM, cloud technology group, Adam Karon,. “We are providing an essential foundation for their AI workloads – a dedicated multi-thousand Nvidia Blackwell GPU cluster integrated with the world’s most distributed cloud – to deliver the predictable, reliable performance their end-users expect.”
The announcement follows several moves Akamai has made to expand its AI inference and generalized compute capabilities, including a rapid expansion of its global IaaS footprint to 41 datacenters leveraging its relationships with many data center partners to enable this growth, and the expansion of its Managed Container Service, which provides a managed service to scale out applications across Akamai’s distributed infrastructure. In October 2025, the company announced Akamai Inference Cloud, redefining where and how AI is used by bringing AI inference closer to users and devices. Most recently, Akamai announced the acquisition of thousands of Nvidia Blackwell GPUs to bolster its global distributed cloud infrastructure and create a unified platform for AI R&D, fine-tuning, and post-training optimization.
Investor note: Akamai disclosed information about this service agreement during its Q4 and FY25 conference call on February 19, 2026.






