Akamai Technologies has landed one of the largest cloud infrastructure contracts in its history, announcing an $11.6 billion seven-year agreement with AI developer Anthropic that could ultimately expand to $20 billion. The deal signals how quickly the artificial intelligence boom is reshaping the market for computing power, and how providers outside the dominant GPU ecosystem are positioning themselves to capture the next wave of demand.
Unlike many headline-grabbing AI infrastructure deals that revolve around graphics processors, this partnership is centered on central processing units, or CPUs. Anthropic will use Akamai Cloud's distributed AI infrastructure and software to support its rising CPU workload requirements and to deliver its AI applications with greater speed and reliability. That distinction matters: while GPUs remain the engine of modern AI training and inference, the scale of production deployment is creating parallel demand for broader, more flexible compute architecture.
For Akamai, the agreement is a defining step in its evolution from a company best known for content delivery and cybersecurity into a larger player in cloud computing. The Cambridge, Massachusetts-based firm has been steadily expanding its infrastructure ambitions, and before this announcement it had already logged just over $2.8 billion in multi-year cloud infrastructure commitments earlier this year. The Anthropic deal dwarfs those figures and gives Akamai a marquee customer in one of the fastest-growing sectors in technology.
Dr. Tom Leighton, Akamai's co-founder and chief executive, framed the agreement as validation of the company's infrastructure strategy. "Anthropic is advancing the AI revolution, and we are thrilled they chose Akamai's capabilities for building and operating AI infrastructure at scale," he said. "Our expanding global footprint, combined with our years of experience serving the world's largest enterprises, positions us to be the infrastructure provider for secure and responsible AI applications."
The financial structure of the deal also gives Anthropic a direct stake in Akamai's performance. Akamai has issued Anthropic a warrant to purchase 7.7 million shares of non-voting Series B preferred stock, convertible to common stock, equal to roughly 5% of Akamai's outstanding shares, at an exercise price of $111.33 per share. About 2% of those shares will vest under the initial $11.6 billion agreement, while the remaining 3% will vest incrementally — roughly 1% for every additional $3 billion in cloud services purchased — if Anthropic chooses to expand the contract over the next seven years.
The scale of the infrastructure commitment is matched by the capital required to support it. Akamai said total capital expenditures tied to the deal are expected to be around $5.5 billion. The company also said it expects no impact to its 2026 revenue guidance, but it does anticipate about $1.7 billion in additional capital expenditures in 2026 to secure and pre-purchase critical supply chain components, including memory.
That spending plan highlights a broader reality in the AI infrastructure race: winning large contracts is only part of the challenge. Providers must also secure hardware, manage supply chains and build enough capacity in advance to meet future demand. In Akamai's case, the company is betting that its distributed cloud model, global footprint and security capabilities can differentiate it in a market increasingly defined by scale, reliability and geographic reach.
Akamai said its cloud platform extends high-performance computing from the core to the edge, allowing organizations to build and scale next-generation AI applications while maintaining multi-layered security protections. For Anthropic, which has become one of the most closely watched AI companies in the world, the agreement offers a path to support growing workloads without relying solely on the most crowded and expensive parts of the AI hardware market.
The deal is also a reminder that the AI infrastructure boom is broadening. As models move from research labs into real-world products used by businesses and consumers, the demand is no longer limited to training clusters packed with GPUs. It now includes the less visible but equally critical systems that keep AI applications running at scale, securely and consistently. Akamai's agreement with Anthropic suggests that companies able to serve that need may be entering a new phase of growth.