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1.
Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times — up to 8x performance boost on Nvidia H100 GPUs, compresses KV caches to 3 bits with no accuracy loss (tomshardware.com)
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HTTP Caching, a Refresher (news.ycombinator.com)
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Value-pool based caching for Java applications (news.ycombinator.com)
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Replacing a cache service with a database (news.ycombinator.com)
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Replacing a Cache Service with a Database (news.ycombinator.com)
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Caches: LRU vs. Random (news.ycombinator.com)
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The Evolution of Caching Libraries in Go (news.ycombinator.com)
8.
Lossless LLM 3x Throughput Increase by LMCache (news.ycombinator.com)
Today's top topics: openai apple google microsoft meta anthropic chatgpt android authority elon musk amazon
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