Akamai Cloud Momentum 2026: AI and SaaS Workloads Drive Adoption

Enterprises scaling AI model training, low-latency inference and SaaS platforms face a hard choice: keep paying hyperscaler premiums or move to a distributed cloud built for performance and cost control. Akamai is reporting a new wave of customer adoption across its cloud computing services, with software, digital media and technology leaders expanding workloads from the core to the edge.

What was announced

On October 15, 2026, Akamai (Nasdaq: AKAM) announced strong customer momentum for Akamai Cloud Computing services. Demand is being driven by enterprises requiring high-performance CPU compute, specialized GPU capacity and resilient storage for workloads that span model training, inference, application hosting and disaster recovery.

Software and SaaS companies made up the majority of new customers. Adoption of NVIDIA RTX PRO 6000 Blackwell Server Edition GPU instances is accelerating for AI and compute-heavy workloads, while Asia-Pacific, Japan and EMEA accounted for most new logos.

As AI and data-heavy applications mature, the underlying infrastructure supporting them must evolve. 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

Why this matters

For CIOs, CISOs and IT directors, the Akamai Cloud story addresses three pressing concerns: cost predictability, GPU availability for AI pipelines, and architectural flexibility across core and edge. Representative wins show real outcomes: a developer platform migrated roughly 1,500 active microservices from a hyperscaler to Akamai LKE to resolve cost friction and margin compression, while an APAC logistics technology provider displaced multiple legacy clouds to scale AI-driven warehouse automation.

Procurement leaders gain a credible alternative for GPU-intensive AI workloads, containerized media playout, cloud disaster recovery and secure storage for regulated sectors such as healthcare research.

Technical details

• GPU infrastructure: NVIDIA RTX PRO 6000 Blackwell Server Edition GPU instances for AI training, inference and compute-heavy workloads.
• Compute mix: CPU-based shared and dedicated instances combined with GPU capacity on Akamai LKE.
• Storage and resiliency: Object Storage and redundant cloud storage for mission-critical disaster recovery.
• Core-to-edge reach: Distributed Akamai Cloud footprint spanning model training through low-latency inference.
• Workload coverage: AI platforms, microservices at scale, digital media streaming, containerized media playout and SaaS applications.

Softprom and Akamai

Softprom is the official distributor of Akamai. Enterprise teams can access Akamai Cloud services, GPU instances, LKE and Object Storage through Softprom with technical consulting, pilots and procurement support.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.