Akamai Discloses Technical Details on AI Cluster Deal

Akamai (NASDAQ: AKAM) disclosed technical details on a four-year, $200 million service agreement to host a multi‑thousand NVIDIA Blackwell GPU cluster for a major U.S. AI company.

Rhea-AI Summary

Akamai (NASDAQ: AKAM) disclosed technical details on a four-year, $200 million service agreement to host a multi‑thousand NVIDIA Blackwell GPU cluster for a major U.S. AI company. The deployment uses high-density data center power, AI-optimized Ethernet, NVMe-over-Fabric storage, and Akamai's distributed cloud and managed container services.

The contract underscores demand for Akamai's integrated AI development and deployment platform and follows its expansion to 41 datacenters and purchases of thousands of NVIDIA Blackwell GPUs.

Positive

• $200 million four-year service agreement secured
• Deployment of a multi-thousand NVIDIA Blackwell GPU cluster (one of the largest globally)
• Expanded global IaaS footprint to 41 datacenters
• Acquisition of thousands of NVIDIA Blackwell GPUs to scale AI platform

Negative

• None.

Argus Mar 5 session

-1.92% close to close 0.5x rel. volume Open Argus

Details

News Market Reaction – AKAM

On Mar 5, the day this news came out, AKAM closed 1.92% below the previous close.

Data tracked by StockTitan Argus for the Mar 5 session.

Key Figures

Service agreement value: $200 million Agreement term: 4 years Datacenter footprint: 41 datacenters +1 more

Service agreement value

$200 million

Four-year AI service agreement with major U.S. tech company

Agreement term

4 years

Duration of AI cluster and cloud services commitment

Datacenter footprint

41 datacenters

Global IaaS footprint used to expand AI and compute capabilities

Earnings call date

February 19, 2026

Original disclosure of AI service agreement on Q4/FY25 call

Previous AI Reports

5 past events · Latest: Mar 03

Same Type 5 events

1. Mar 03

   AI platform expansion

   24h Move

   +4.5%

   Announced deployment of thousands of NVIDIA Blackwell GPUs for global AI platform.

2. Nov 05

   AI product traction

   24h Move

   +1.4%

   Reported early traction and rising demand for Akamai Inference Cloud.

3. Oct 28

   AI platform launch

   24h Move

   +0.3%

   Launched Akamai Inference Cloud built on NVIDIA Blackwell for edge AI inference.

4. Apr 29

   AI security launch

   24h Move

   +1.0%

   Introduced Firewall for AI and API LLM Discovery to secure AI applications.

5. Mar 27

   AI inference launch

   24h Move

   +0.1%

   Launched Akamai Cloud Inference promising throughput, latency and cost benefits.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

gpu, ethernet, nvme-over-fabric, iaas, +1 more

5 terms

gpu technical

"the customer will utilize a multi-thousand NVIDIA® Blackwell GPU cluster hosted"

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

ethernet technical

"powered by an AI-optimized Ethernet networking platform, enabling non-blocking"

A wired networking technology that moves data between devices over cables, like a dedicated highway that carries information reliably and quickly across offices, factories, and data centers. Investors care because ethernet underpins the performance and cost of digital services and infrastructure—demand for faster, more reliable wired networks drives spending on hardware, installation and upgrades, which affects manufacturers, service providers and companies that rely on heavy data flow.

nvme-over-fabric technical

"AI and HPC workloads with NVMe-over-Fabric."

NVMe-over-Fabric is a method for accessing ultra-fast solid-state storage across a network with the same low delay and high throughput as a directly attached drive — think of extending a fast internal SSD over a high-speed highway between machines. For investors it matters because adopting this technology can boost data-center performance, lower per-unit storage costs, and enable easier scaling of cloud and enterprise services, which can affect revenue potential, margins and capital spending for firms involved.

iaas technical

"expansion of its global IaaS footprint to 41 datacenters"

Infrastructure as a Service (IaaS) is a cloud computing model that lets companies rent computing resources—like servers, storage, and network capacity—on demand instead of owning hardware. For investors, IaaS matters because it enables faster scaling, lower upfront costs, and predictable operating expenses for businesses, which can boost growth potential and margins; think of it as paying to use a utility grid rather than building your own power plant.

managed container service technical

"the expansion of its Managed Container Service, which provides a managed service"

A managed container service is a cloud offering that runs and maintains packaged application units (containers) for a company, handling setup, scaling, updates and health checks so the company doesn’t manage the underlying infrastructure. Think of it as renting a fully serviced storage unit where the provider organizes, secures and expands space as needed. For investors, it matters because these services can lower operating risk and capital expenditures, speed product delivery, and create cost or vendor dependencies that affect margins and growth.

AI-generated analysis. How Rhea-AI works. Not financial advice.

See more from StockTitan in Google Search and AI answers. Adds StockTitan as a preferred source · opens Google

Add on Google Not now

CAMBRIDGE, Mass., March 05, 2026 (GLOBE NEWSWIRE) -- Akamai Technologies, Inc. (NASDAQ: AKAM) has provided additional detail on the recent four-year, $200 million service agreement it signed with a major U.S. tech company at the forefront of the AI revolution for high-performance AI compute. Under the terms of the deal, the customer will utilize a multi-thousand NVIDIA® Blackwell GPU cluster hosted in a data center designed for efficient, high-density power capacity, as well as other cloud infrastructure services on Akamai's distributed cloud platform.

The 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 Akamai 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.

About Akamai
Akamai is the cybersecurity and cloud computing company that powers and protects business online. Our market-leading security solutions, superior threat intelligence, and global operations team provide defense in depth to safeguard enterprise data and applications everywhere. Akamai’s full-stack cloud computing solutions deliver performance and affordability on the world’s most distributed platform. Global enterprises trust Akamai to provide the industry-leading reliability, scale, and expertise they need to grow their business with confidence. Learn more at akamai.com and akamai.com/blog, or follow Akamai Technologies on X and LinkedIn.

Contacts
Akamai Media Relations
akamaipr@akamai.com

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What are the financial terms of Akamai's AI cluster deal (AKAM) announced March 5, 2026?

The contract is a four-year, $200 million service agreement. According to the company, the customer committed $200 million for hosted GPU and cloud services spanning four years, disclosed during its Q4 and FY25 call.

What hardware will Akamai host for the AI customer in the AKAM agreement?

A multi‑thousand NVIDIA Blackwell GPU cluster will be hosted. According to the company, it represents one of the world's largest Blackwell RTX PRO 6000 Server Edition clusters at scale.

How does Akamai's infrastructure support large-scale AI in the AKAM deal?

The deployment uses AI-optimized Ethernet and NVMe-over-Fabric storage for non-blocking, lossless connectivity. According to the company, this enables high-performance, linear scalability for AI and HPC workloads.

Does the AKAM announcement mention Akamai's global footprint and related capacity?

Yes; Akamai expanded its IaaS footprint to 41 datacenters. According to the company, it leverages data center partners to scale its distributed cloud for AI inference and compute.

How did Akamai disclose details of the AKAM service agreement to investors?

Akamai shared the service-agreement details during its Q4 and FY25 conference call on February 19, 2026. According to the company, the investor note followed that call and the March 5 technical disclosure.