AI, Enterprise SaaS Workloads Drive Akamai Cloud Momentum

Software and SaaS companies represented the overwhelming majority of new customers, with most additions coming from international markets.

Rhea-AI Summary

Akamai (AKAM) announced new customer adoption of its cloud computing services, spanning enterprise software, artificial intelligence and digital media workloads. Software and software-as-a-service companies represented the overwhelming majority of new customers, while Asia-Pacific and Japan and Europe, the Middle East and Africa accounted for most additions.

Customer commitments include NVIDIA RTX PRO 6000 Blackwell Server Edition GPU deployments for AI testing and compute pilots, a logistics technology provider migrating AI warehouse workloads, and a developer platform moving its core architecture. Other customers selected cloud services for streaming and media processing, while a European healthcare research institution is deploying storage and disaster recovery infrastructure.

Positive

• Minor pointSoftware and SaaS companies represented the overwhelming majority of new cloud customers.
• Minor pointAsia-Pacific and Japan and EMEA accounted for most new customer additions.
• Minor point. Forward-looking: it has not happened yet and may not happen.North American technology customer is deploying NVIDIA GPU infrastructure for AI testing and specialized compute pilots.
• Minor point. Forward-looking: it has not happened yet and may not happen.Asia-Pacific logistics technology provider is migrating AI warehouse tracking and automation workloads to Akamai Cloud.
• Minor point. Forward-looking: it has not happened yet and may not happen.Developer platform is migrating its core microservices architecture from a major hyperscaler to Akamai LKE.

3 minor points

• Minor pointGlobal digital media producer selected Akamai GPU compute for streaming, video rendering and content distribution.
• Minor point. Forward-looking: it has not happened yet and may not happen.European healthcare research institution is deploying cloud storage and disaster recovery infrastructure.
• Minor pointGlobal media technology customer selected Akamai LKE and Object Storage for media playout and processing.

Negative

• None.

Key Figures

Active microservices: Nearly 1,500

Active microservices

Nearly 1,500

Developer platform deployment

Key Terms

gpu, saas, inference, microservices

4 terms

gpu technical

"specialized GPU capacity"

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.

saas technical

"Software and SaaS companies represented the overwhelming majority"

SaaS, or Software as a Service, is a way of delivering computer programs over the internet, allowing users to access and use them through a web browser without needing to install or maintain the software themselves. For investors, it highlights a business model where companies generate recurring revenue by providing ongoing access to their software, often leading to predictable income and growth potential.

inference technical

"model training through low-latency inference"

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

microservices technical

"scale nearly 1,500 active microservices efficiently"

Microservices are a way of designing software systems as a collection of small, independent parts that work together to perform a larger function. Each part handles a specific task, making the system more flexible and easier to update or fix. For investors, understanding microservices can reveal how a company's technology is structured, potentially impacting its agility, efficiency, and ability to innovate.

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

Growing demand across the continuum of compute, including model training to low-latency inference, core-to-edge application hosting, and cloud disaster recovery

CAMBRIDGE, Mass., Oct. 15, 2026 (GLOBE NEWSWIRE) -- Akamai (Nasdaq: AKAM) today announced a new wave of customer adoption for its Akamai Cloud Computing services. Leading software, digital media, and technology organizations are expanding their reliance on Akamai Cloud, driven by growing enterprise demand for high-performance CPU-based compute, specialized GPU capacity, and resilient storage.

This customer momentum reflects enterprise demand across critical technical requirements: from model training through low-latency inference, core-to-edge application hosting, and cloud disaster recovery, allowing organizations to optimize infrastructure performance, span workloads seamlessly, and control spending.

Key Highlights of Customer Momentum:

• Enterprise & AI Workloads Lead Growth: Software and SaaS companies represented the overwhelming majority of new customers, underscoring Akamai's strength as a trusted partner for software providers.
• Demand for Next-Gen GPU Infrastructure: Adoption of specialized accelerated compute, driven by customer wins for Akamai's NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU instances for AI and compute-heavy workloads.
• Global Market Expansion: Akamai expanded its customer base across international markets, with Asia-Pacific & Japan (APJ) and EMEA accounting for most new customer additions.
• Diversified Sector Adoption: Beyond software, Akamai gained traction in high-bandwidth industries, adding notable new customer logos across business services, digital media, and streaming.
  
  

Representative Customer Wins & Workload Profile:

• Next-Gen AI & Pilot GPU Deployments: A leading North American technology innovator is deploying Akamai’s NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU infrastructure for high-performance AI model testing and specialized compute piloting.
• Asia-Pacific Cloud & Disaster Recovery: An Asia-Pacific logistics technology provider serving global supply chains is migrating its AI-driven warehouse tracking and automation workloads to Akamai Cloud. By displacing multiple legacy cloud providers, the company is securing the stable, cost-effective GPU and compute infrastructure needed to scale its AI platform and digital workflows sustainably.
• Developer Platform & SaaS Scale-Up: A rising developer platform is migrating its core microservices architecture from a major hyperscaler to Akamai LKE to resolve legacy cost friction and margin compression. Deploying a tailored mix of GPU, shared, and dedicated compute instances alongside cloud firewalls enables the provider to achieve performance parity, dramatically reduce primary infrastructure costs, and scale nearly 1,500 active microservices efficiently.
• Digital Media & High-Density Streaming: A global digital media producer selected Akamai GPU compute instances to accelerate streaming infrastructure, video rendering, and content distribution.
• Healthcare & Public Sector Continuity: A European healthcare research institution is deploying Akamai Cloud infrastructure to power secure, redundant cloud storage and mission-critical disaster recovery operations.
• Cloud Infrastructure for Media Workloads: A global media technology leader selected Akamai LKE and Object Storage to power its containerized media playout and processing operations. By migrating its compute-intensive digital workflows to Akamai's cloud-native platform, the company optimized its cloud footprint and infrastructure economics while maintaining the high-performance standards required for demanding media applications.
  
  

“As AI and data-heavy applications mature, the underlying infrastructure supporting them must evolve,” said Adam Karon, Chief Operating Officer and General Manager, Cloud Technology Group at Akamai. “Enterprises can no longer afford to treat cloud compute as a one-size-fits-all model. That shift is why technology leaders are turning to Akamai for high-performance compute and GPU capacity where efficiency and scale matter most.”

To learn more about Akamai Cloud, visit akamai.com/cloud

About Akamai

Akamai is the cloud company that powers and protects an AI-driven world. Our cloud platform extends high-performance cloud computing from the core to the edge, enabling organizations to build and scale next-generation AI applications and providing comprehensive, multilayered security to safeguard enterprises against evolving cyberthreats. Learn more at akamai.com and akamai.com/blog, or follow Akamai Technologies on X and LinkedIn.

Contacts
Akamai Media Relations
akamaipr@akamai.com

Akamai Investor Relations
invrel@akamai.com

FAQ

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

What is driving Akamai's new cloud customer adoption?

Akamai attributes adoption to demand for CPU-based compute, specialized GPU capacity and resilient storage. Software and SaaS companies represented the overwhelming majority of new customers, with workloads spanning AI, application hosting and disaster recovery.