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Data Center News > Blog > Edge Computing > Fastly’s AI accelerator tackles generative AI bottlenecks with 9x faster response times
Edge Computing

Fastly’s AI accelerator tackles generative AI bottlenecks with 9x faster response times

Last updated: December 19, 2024 2:02 am
Published December 19, 2024
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Fastly’s AI accelerator tackles generative AI bottlenecks with 9x faster response times
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International edge cloud platforms supplier Fastly has launched the Fastly AI Accelerator, a semantic caching answer geared toward enhancing efficiency and decreasing prices for builders utilizing Massive Language Mannequin (LLM) generative AI functions.

The AI Accelerator delivers a mean of 9x sooner response occasions in comparison with conventional strategies. Initially supporting OpenAI ChatGPT, it now additionally contains Microsoft Azure AI Foundry.

Builders can simply implement the AI Accelerator by updating their utility to a brand new API endpoint, typically requiring only a single line of code change.

The answer reduces the necessity for repeated API calls to AI suppliers, enhancing efficiency and person expertise.

“Fastly AI Accelerator is a big step in direction of addressing the efficiency bottleneck accompanying the generative AI increase,” says Dave McCarthy, Analysis Vice President, Cloud and Edge Providers at IDC. “This transfer solidifies Fastly’s place as a key participant within the fast-evolving edge cloud panorama. The distinctive strategy of utilizing semantic caching to cut back API calls and prices unlocks the true potential of LLM generative AI apps with out compromising on velocity or effectivity, permitting Fastly to reinforce the person expertise and empower builders.”

Current Fastly clients can entry the AI Accelerator immediately by means of their accounts.

Associated

AI  |  Fastly  |  generative AI  |  LLM  |  semantic caching

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See also  Generative AI ‘commonplace in cloud business models’ – as Azure leads the way
TAGGED: accelerator, bottlenecks, faster, Fastlys, generative, response, tackles, times
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