Akamai Secures New Enterprise Cloud Customers
The cloud provider is attracting firms across AI, SaaS, and media as businesses shift infrastructure to reduce costs.
Updated on Oct. 22, 2026 in Data Centers
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Akamai is gaining traction with companies across the AI, SaaS, and media sectors as businesses migrate their infrastructure to manage technical performance and margin pressure. The growth is seen across North America, Europe, and Asia-Pacific.
Why it matters
Enterprises are increasingly moving workloads from major hyperscalers to Akamai to optimize infrastructure costs while maintaining required low-latency performance. There is a growing market demand for specific GPU capacity for model testing and inference.
A developer platform is currently migrating 1,500 active microservices to Akamai LKE. Other customers are utilizing NVIDIA RTX PRO 6000 Blackwell Server Edition GPU infrastructure alongside Akamai Object Storage.
The players
Akamai
A global cloud provider specializing in content delivery, security, and computing services.
NVIDIA
A technology company that designs graphics processing units and hardware platforms for artificial intelligence.
The details
Businesses are combining dedicated and shared compute capacity to better match their specific workload needs. Clients ranging from healthcare research institutions in Europe to logistics providers in the Asia-Pacific region are leveraging these services for disaster recovery and AI-driven tracking.
Timeline
October 2026: Akamai announced recent customer acquisition trends.
The Tech Race
The deployment of the NVIDIA RTX PRO 6000 Blackwell Server Edition GPU marks a pivot toward specialized hardware designed for AI-heavy workloads. This development positions Akamai to compete more directly with major hyperscalers by offering tailored compute environments.
Users of these platforms may experience improved application performance and lower latency due to more efficient backend infrastructure. Organizations adopting these cloud services can potentially see reduced operational costs for their AI and software tools.
The takeaway
The ongoing shift toward specialized cloud infrastructure highlights the importance of cost-effective compute solutions for scaling AI. Businesses looking to optimize should evaluate whether their current hyperscaler environment provides the best balance of price and performance.
Further reading
For more on industry shifts, explore our Data Centers section.
Source note: This article includes information reported by DQC.
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Do you believe current cloud infrastructure costs are forcing businesses to compromise on necessary service quality?
