Copilot, Slack, and Gemini—five major platforms, with potential future expansion to additional AI assistants. Akamai Do ordinary users need an Adobe account to use it? Typically, you must link and authorize your Adobe account with Gemini to access tools such as Photoshop and Lightroom; free accounts offer limited functionality, while full capabilities require an Adobe subscription.A heavyweight addition to the AI giants’ computing-power arms race. On September 26, according to TechCrunch, Anthropic entered into a cloud computing agreement with Akamai—the world’s largest edge computing and content delivery network (CDN) company.
Under the agreement, Anthropic will pay Akamai
$11.6 billionThis deal marks another strategic move by Anthropic to rapidly expand its computing-power footprint ahead of its IPO.What exactly is $11.6 billion buying?
Akamai began as a CDN provider but has built deep expertise in the cloud services market—especially in distributed cloud and edge computing. For AI labs like Anthropic, training and running large models demands
massive, stable, and elastically scalable computing power.
This $11.6 billion multi-year agreement essentially secures computing-power supply in advance, avoiding “no GPUs available” scenarios during demand surges.Signing long-term contracts with cloud providers has become standard practice for AI companies in recent years. Beyond Microsoft, AWS, and Google Cloud, Akamai’s inclusion on Anthropic’s supplier list as a “second-tier” cloud service provider signals that AI computing-power demand has grown so large that multiple cloud vendors must simultaneously supply capacity. For Akamai, this contract ranks among the largest single-cloud deals in its history—its significance comparable to a “cloud industry earthquake.”Anthropic’s Computing-Power Bet
From “Voice Assistant” to “Voice Agent”: An Upgrade Claude OpenAI Agent Out of Control: 53 User Photos Leaked to the Public Web, Raising Fresh Alarms About Agent Security Claude Opus 5.5 September 26, 2026Fueling this aggressive investment isthe rapid advancement of its model series. The newly released
stands out in safety and alignment capabilities, whileAnthropic has also quietly entered biolabsThis new frontier demanding massive compute. The hunger for compute shows no short-term ceiling.
Another backdrop is that Anthropic is actively preparing for its IPO, with its founders stillseeking voting controlLocking in compute commitments before going public serves both to demonstrate growth resolve to investors and to stay competitive in the model performance race—after all, compute scale directly determines a model’s training ceiling.
What does it mean for the industry?
- Edge computing and inference latencyWhy Akamai—not doubling down on the Big Three clouds? The reason may lie in
- Compute supply diversificationAI giants are no longer relying solely on the Big Three cloud providers; second-tier cloud vendors are seizing their opportunity.
- Rising costsLong-term compute contracts lock in higher amounts, which will eventually be partially passed through to API pricing and subscription fees. From “Voice Assistant” to “Voice Agent”: An Upgrade OpenAI Agent Out of Control: 53 User Photos Leaked to the Public Internet, Raising Another Alarm on Agent Security
September 26, 2026GPT-6 Sol and LunaPrioritizing “faster and cheaper,” while Anthropic opts to heavily invest in compute—two divergent strategies now colliding head-on.
What does it mean for the average user?
Notably, amid this compute arms race, Claude AI giants are collectively slowing down—rarely seen before.Their product release cadence. On one side, compute investment keeps escalating; on the other, product iteration hits the brakes—a striking contrast that itself invites reflection: it signals giants are shifting resources from “rapid innovation” to “infrastructure consolidation.”For end users, this deal won’t directly change your experience in the short term, but it sends a clear signal:
Competition among top-tier AI models is shifting from “algorithms” to a dual contest of “compute + capital.”
Frequently Asked Questions (FAQ)
Larger compute pools mean faster inference speeds, larger context windows, and more stable services—but they also mean someone ultimately bears the cost of these capabilities.
In other words, we’re witnessing an endless “compute inflation.” As all leading players lock in compute via multi-billion- or even multi-trillion-dollar long-term contracts, the ceiling for AI capabilities keeps rising—and every incremental cost of deployment eventually surfaces in model API pricing and subscription fees.
What is Akamai?
Akamai is a globally renowned content delivery network (CDN) and cloud service provider, specializing in distributed edge computing; in recent years, it has also expanded into general-purpose cloud computing and ranks as a second-tier player behind the Big Three cloud providers.
Why did Anthropic spend $11.6 billion on cloud services? Claude Training and running large models demands massive compute; Anthropic secured Akamai’s compute supply through long-term contracts to avoid shortages during future demand surges—a common practice across the AI industry.
Will this affect
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September 26, 2026 AI Model Library and Tool Comparison Engineor continue reading:Why is Anthropic rushing to sign such a long-term contract before its IPO? · Securing long-term compute capacity before going public demonstrates growth commitment and supply assurance to investors while hedging against future compute price volatility—a common strategy for capital-intensive AI companies..