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Lightbits Labs is launching Inferra, a software engine that offloads AI inference key-value cache data to external memory tiers like DRAM and NVMe storage to alleviate GPU bandwidth bottlenecks. This approach aims to significantly reduce latency for long-context workloads by using predictive prefetching to keep necessary data near the compute unit before it is requested. The technology targets neocloud providers and enterprises managing large language models with extensive context windows, offering a potential path to higher concurrency on commodity hardware.

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Lightbits set to release KV cache engine to boost GPU performance

SiliconANGLESeptember 9, 20264 min read

Lightbits Labs Ltd. today announced the general availability of Inferra, a software engine designed to improve the economics and performance of artificial intelligence inference by moving key-value cache data beyond the limited high-bandwidth memory attached to graphics processing units. The company, best known as the inventor of the NVMe over TCP storage protocol, is positioning […] The post Lightbits set to release KV cache engine to boost GPU performance appeared first on SiliconANGLE.

Lightbits Labs Ltd. today announced the general availability of Inferra, a software engine designed to improve the economics and performance of artificial intelligence inference by moving key-value cache data beyond the limited high-bandwidth memory attached to graphics processing units. The company, best known as the inventor of the NVMe over TCP storage protocol, is positioning Inferra for neocloud providers and enterprises running large language models with long context windows or many simultaneous sessions.…

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