Akamai Cloud Gains Customer Adoption for AI Workloads and Enterprise SaaS

Software and SaaS Companies Drive Akamai Cloud Momentum

Akamai Cloud Computing services are experiencing a surge in customer adoption as software, digital media, and technology organizations migrate critical workloads to its infrastructure1

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. Software and SaaS companies represent the overwhelming majority of new customers, signaling Akamai's position as a trusted partner for enterprise SaaS workloads1

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. This momentum reflects growing enterprise demand for high-performance compute, specialized GPU capacity, and resilient storage that spans requirements from AI model training through low-latency inference, core-to-edge application hosting, and cloud disaster recovery2

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NVIDIA RTX PRO 6000 Blackwell Server Edition Powers AI Workloads

Demand for next-generation GPU infrastructure is accelerating adoption of Akamai's NVIDIA RTX PRO 6000 Blackwell Server Edition GPU instances for AI and compute-heavy workloads1

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. A leading North American technology innovator is deploying this infrastructure for high-performance AI model testing and specialized compute piloting2

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. An Asia-Pacific logistics provider serving global supply chains is migrating its AI-driven warehouse automation workloads to Akamai Cloud, displacing multiple legacy cloud providers to secure stable, cost-effective GPU and compute infrastructure needed to scale its AI platform sustainably1

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. A global digital media producer selected Akamai GPU compute instances to accelerate streaming infrastructure, video rendering, and content distribution2

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Developer Platform Migrates 1,500 Microservices to Akamai LKE

A rising developer platform is migrating its core microservices architecture from a major hyperscaler to Akamai LKE to resolve legacy cost friction and margin compression1

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. Deploying a tailored mix of GPU, shared, and dedicated compute instances alongside cloud firewalls enables the provider to achieve performance parity, dramatically reduce primary infrastructure costs, and scale nearly 1,500 active microservices efficiently2

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. A global media technology leader selected Akamai LKE and Object Storage to power its containerized media playout and processing operations, optimizing its cloud footprint and infrastructure economics while maintaining high-performance standards required for demanding media applications1

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Global Market Expansion Spans APJ and EMEA Regions

Akamai expanded its customer base across international markets, with APJ and EMEA accounting for most new customer additions in this wave of adoption1

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. Beyond software, Akamai gained traction in high-bandwidth industries, adding notable customer logos across business services, digital media, and streaming2

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. A European healthcare research institution is deploying Akamai Cloud infrastructure to power secure, redundant cloud storage and mission-critical disaster recovery operations1

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Why Infrastructure Economics Matter for AI and SaaS Scale

Adam Karon, Chief Operating Officer and General Manager of Cloud Technology Group at Akamai, emphasized that as AI workloads and data-heavy applications mature, underlying infrastructure must evolve beyond one-size-fits-all cloud compute models1

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. Organizations are turning to Akamai for high-performance compute and specialized GPU capacity where efficiency and scale matter most, allowing them to optimize infrastructure performance, span workloads seamlessly, and control spending2

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. This shift suggests enterprises can no longer afford legacy cost structures as they scale AI platforms and digital workflows sustainably across global operations.