Akamai Expands Cloud Computing Customer Base
Software and digital media firms are increasingly adopting the company's infrastructure for AI and application hosting.
Updated on Oct. 15, 2026 in Data Centers
Live Poll
Is your business increasing its reliance on cloud-based AI infrastructure to remain competitive?
Akamai announced a surge in new customer adoption for its cloud computing services on October 15, 2026. The expansion is driven by enterprise demand for high-performance GPU infrastructure to support AI workloads and microservices.
Why it matters
Enterprises are migrating workloads from legacy hyperscalers to Akamai to leverage cost-effective compute instances. This shift helps companies avoid the infrastructure cost friction and margin compression often found in traditional cloud platforms.
Akamai provides NVIDIA RTX PRO 6000 Blackwell Server Edition GPU instances to support complex model training and inference. One developer platform successfully migrated 1,500 active microservices to the company's LKE platform.
The players
Akamai
Based in Cambridge, Massachusetts, this company provides cloud computing and edge infrastructure services for global enterprises.
NVIDIA
A global leader in semiconductor and hardware manufacturing that produces the specialized GPU technology utilized in Akamai cloud instances.
The details
New clients spanning business services, digital media, and streaming sectors are utilizing the infrastructure for application hosting and AI model training. The company successfully expanded its presence in the Asia-Pacific, Japan, and EMEA regions to meet growing international demand.
Timeline
October 15, 2026: Akamai officially announced the expansion of its cloud computing customer base.
The Tech Race
This move reflects the industry's widespread integration of NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs for processing large-scale AI workloads. The transition marks a critical infrastructure upgrade for Akamai as it actively competes with legacy cloud hyperscalers.
Users of digital media and streaming services may experience faster load times and more reliable performance due to the migration to optimized cloud infrastructure. Developers can expect enhanced capabilities for deploying microservices with potentially lower operational costs.
The takeaway
Businesses are increasingly prioritizing specialized cloud hardware to balance the high costs of modern AI development. Companies that successfully migrate from legacy platforms are better positioned to manage the growing resource demands of digital application hosting.
Further reading
For more information on the evolving infrastructure market, visit the Data Centers section.
More information
View full technical specifications and platform details on the Akamai cloud computing information page.
Source note: This article includes information reported by The Manila times.
Live Poll
Is your business increasing its reliance on cloud-based AI infrastructure to remain competitive?
