Akamai locks in $11.6B as Anthropic bets on CPUs

Akamai signed its largest deal ever, an $11.6B seven-year CPU cloud commitment with Anthropic that could reach $20B.

Akamai locks in $11.6B as Anthropic bets on CPUs
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Akamai announced an $11.6 billion, seven-year commitment from Anthropic to power cloud infrastructure for rising demand around its models, according to the announcement.

This deal transforms Akamai from a pure delivery network into a main AI compute provider.

The agreement leans on CPUs rather than GPUs and could climb toward $20 billion if Anthropic taps extra capacity, per TechCrunch, which also notes Akamai will award Anthropic warrants covering up to 5% of its stock as part of an unusual equity kickback linked to spending.

This structure reshapes how teams building large-scale Claude models allocate resources. Workloads that don't need accelerators can move to Akamai Cloud to chase lower prices and better availability, while GPU clusters remain dedicated to training and cutting-edge inference. Operators will need to split deployments, rework autoscaling and routing rules to treat Akamai as a core region instead of an edge cache.

Since acquiring Linode and expanding distributed compute, Akamai has pushed its cloud platform hard, yet it still battles AWS, Google Cloud and Azure for enterprise contracts and faces competitors like CoreWeave and Lambda for AI-native capacity. A flagship customer paying around $1.65 billion annually provides steady utilization, justifying data center builds and giving Akamai a foothold convincing buyers who've already tried its delivery and security services.

The published release omits details on pricing, prepayment or early termination, and Akamai's own press page didn't go beyond the headline figure at launch. If the CPU focus proves right, cost-conscious inference operations will thrive. Otherwise, Akamai keeps its seven-year commitment intact.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.