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Data Center News > Blog > Edge Computing > Akamai targets AI inferencing bottlenecks with new edge cloud solution
Edge Computing

Akamai targets AI inferencing bottlenecks with new edge cloud solution

Last updated: April 4, 2025 1:13 pm
Published April 4, 2025
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Akamai targets AI inferencing bottlenecks with new edge cloud solution
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Akamai launched its Akamai Cloud Inference service designed to enhance AI inference efficiency,  boasting higher throughput, 60% much less latency, and 86% decrease prices in comparison with conventional hyperscale infrastructure. 

The service focuses on operating AI inference nearer to customers and gadgets, addressing limitations of centralized cloud fashions. Akamai Cloud Inference supplies instruments for builders to construct and run AI purposes with diminished latency and improved effectivity. 

The platform integrates with NVIDIA’s AI ecosystem and companions with VAST Knowledge for optimized knowledge administration and real-time entry. It helps containerized AI workloads utilizing Kubernetes for scalability, resilience, and price optimization. 

Akamai’s edge compute capabilities allow low-latency AI purposes by executing light-weight code instantly on the edge. The platform leverages Akamai’s distributed community with over 4,200 factors of presence in 130+ international locations for scalability and efficiency. 

“Getting AI knowledge nearer to customers and gadgets is tough, and it’s the place legacy clouds battle,” says Adam Karon, Chief Working Officer and Normal Supervisor, Cloud Know-how Group at Akamai. “Whereas the heavy lifting of coaching LLMs will proceed to occur in huge hyperscale knowledge facilities, the actionable work of inferencing will happen on the edge the place the platform Akamai has constructed over the previous two and a half a long time turns into very important for the way forward for AI and units us other than each different cloud supplier available in the market.”

Akamai emphasizes the shift from coaching giant language fashions (LLMs) to light-weight, industry-specific AI fashions for sensible enterprise options. Distributed cloud and edge architectures are highlighted as important for real-time, actionable insights and operational intelligence. 

See also  Oracle Cloud Service enables banks to manage climate change risk across portfolios

Early use instances embrace in-car voice help, AI-powered crop administration, digital purchasing experiences, and automatic product descriptions. 

Akamai positions AI inference as the subsequent frontier for AI, specializing in delivering sooner, smarter choices and customized consumer experiences. This underscores a major evolution in edge computing, addressing important latency and cost-efficiency challenges related to centralized cloud AI inferencing. 

Associated

AI inference  |  AI/ML  |  Akamai  |  edge AI  |  edge cloud  |  edge platform

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TAGGED: Akamai, bottlenecks, cloud, edge, inferencing, solution, targets
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