Akamai Cloud Sees Rising Adoption Across AI, SaaS and Enterprise Workloads

Growing customer demand for GPU acceleration, low-latency computing, application hosting and disaster recovery is driving Akamai Cloud expansion across international markets.

Akamai Technologies has reported increased customer adoption of its Akamai Cloud Computing services, with software, digital media and technology companies expanding their use of the platform to support demanding enterprise workloads.

The growth reflects increasing requirements for high-performance CPU computing, specialized graphics processing unit (GPU) capacity and resilient storage. Organizations are using cloud infrastructure for a range of workloads, from AI model training and low-latency inference to application hosting across core and edge environments and cloud-based disaster recovery.

According to Akamai, this demand is encouraging enterprises to seek infrastructure that can improve performance, support workloads across different environments and help manage operating costs.

Enterprise Software and AI Lead Customer Growth

Software and software-as-a-service (SaaS) businesses accounted for the majority of new customer additions, highlighting Akamai Cloud’s adoption among software providers.

Demand for accelerated computing is also increasing, with customers selecting Akamai’s NVIDIA RTX PRO 6000 Blackwell Server Edition GPU instances for AI experimentation, model testing and computationally intensive applications.

Geographically, Asia-Pacific and Japan (APJ) and Europe, the Middle East and Africa (EMEA) contributed most of the new customer additions. The company also expanded its presence across business services, digital media and streaming, where high-bandwidth infrastructure is an important requirement.

Customer Deployments Span AI, SaaS and Disaster Recovery

Akamai highlighted several customer deployments illustrating how organizations are using its cloud infrastructure across different industries and technical requirements.

GPU Infrastructure for AI Development

A 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 computing pilots.

The deployment reflects demand for accelerated infrastructure that can support AI development and compute-intensive experimentation.

Logistics Technology Moves AI Workloads to Akamai Cloud

An Asia-Pacific logistics technology provider serving global supply chains is migrating its AI-driven warehouse tracking and automation workloads to Akamai Cloud.

The company is replacing multiple legacy cloud providers to obtain stable, cost-effective GPU and computing infrastructure for scaling its AI platform and digital workflows.

Developer Platform Targets Infrastructure Cost Reduction

A growing developer platform is migrating its core microservices architecture from a major hyperscaler to Akamai LKE, with the aim of addressing infrastructure costs and pressure on margins.

The deployment combines GPU, shared and dedicated computing instances with cloud firewalls. According to the customer use case described by Akamai, this setup is intended to maintain comparable performance while significantly lowering primary infrastructure costs and supporting nearly 1,500 active microservices.

GPU Computing Supports Digital Media and Streaming

A global digital media producer has selected Akamai GPU computing instances to accelerate streaming infrastructure, video rendering and content distribution.

The deployment highlights the use of accelerated computing for media production and delivery workloads that require substantial processing capacity.

Healthcare Research and Disaster Recovery

A European healthcare research institution is deploying Akamai Cloud infrastructure for secure, redundant cloud storage and disaster recovery operations supporting mission-critical activities.

The use case underscores the role of resilient cloud infrastructure in maintaining data availability and supporting recovery requirements.

Cloud-Native Infrastructure for Media Processing

A global media technology provider has selected Akamai LKE and Object Storage for containerized media playout and processing workloads.

By moving compute-intensive digital workflows to Akamai’s cloud-native platform, the company aims to optimize its cloud footprint and infrastructure economics while maintaining the performance required for demanding media applications.

Demand Shifts Toward Workload-Specific Cloud Infrastructure

The range of deployments reflects enterprise requirements extending beyond general-purpose cloud computing. AI development, SaaS platforms, streaming services and critical recovery operations have different infrastructure needs, including specialized processing, predictable performance, scalable storage and cost efficiency.

Adam Karon, Chief Operating Officer and General Manager of Akamai’s Cloud Technology Group, said enterprises are increasingly reassessing the infrastructure supporting AI and data-intensive applications.

“As AI and data-heavy applications mature, the underlying infrastructure supporting them must evolve,” Karon said. He added that technology leaders are turning to Akamai for high-performance computing and GPU capacity where efficiency and scale are priorities.

Akamai’s latest customer activity points to growing interest in cloud platforms that can accommodate diverse workloads, from accelerated AI computing to application deployment and disaster recovery, while helping organizations balance infrastructure performance and spending.