Akamai Secures New Cloud Customers Amid Migration Trend
Enterprises are shifting workloads to Akamai to optimize infrastructure costs and performance for AI-driven applications.
Updated on Oct. 22, 2026 in Data Centers
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Akamai has onboarded new customers across AI, SaaS, and media sectors as enterprises shift infrastructure to manage mounting costs. The company is actively migrating a developer platform's 1,500 active microservices from a major hyperscaler to its LKE infrastructure.
Why it matters
Businesses are increasingly moving away from hyperscaler dependency to address margin pressures and performance requirements. The shift highlights a trend toward distributed cloud environments that combine specific GPU capacity with dedicated compute for low-latency workloads.
A developer platform is migrating 1,500 microservices from a major hyperscaler to Akamai LKE. These deployments leverage a mix of GPU, shared, and dedicated compute capacity to optimize model testing and low-latency inference.
The players
Akamai
A global content delivery and cloud computing provider managing a distributed edge network and infrastructure services.
NVIDIA
A semiconductor designer focused on high-performance GPUs utilized for AI training and inference acceleration.
The details
Customers are deploying Akamai NVIDIA RTX PRO 6000 Blackwell Server Edition GPU infrastructure to handle compute-intensive AI tasks. By utilizing Akamai LKE—a Kubernetes-based managed service for orchestrating containerized applications—and Object Storage, firms aim to offload tasks from traditional hyperscaler environments. This distributed approach allows businesses to allocate resources to match specific workload needs for model testing and inference.
Timeline
October 2026: Akamai reported recent customer acquisition trends.
The Tech Race
This development follows the broader industry trend of cloud repatriation, where enterprises move workloads from large hyperscalers to specialized providers. It represents a shift toward more distributed, hardware-specific cloud environments for AI and media tasks.
Developers and IT teams can expect potential cost reductions by moving specific AI and storage workloads to dedicated cloud infrastructure. These services are currently available for enterprises transitioning from legacy hyperscaler deployments.
The takeaway
The move suggests that specialized GPU and storage performance is becoming a key differentiator for cloud providers competing against hyperscalers. Watch for future quarterly reports to see if this migration trend materially improves Akamai's competitive market share.
Further reading
For broader trends in infrastructure migration, visit our Data Centers section.
Source note: This article includes information reported by DQC.
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