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1.
From 300KB to 69KB per Token: How LLM Architectures Solve the KV Cache Problem (news.ycombinator.com)
2026-03-28 | by Nicholas Zinner | get GPT-4 Memory Expansion Kit → | tags: gpt-2, kv cache, large language models
2.
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)
2026-03-25 | by Luke James | get Nvidia H100 GPU → | tags: google research, turboquant, nvidia h100
3.
Nvidia says it can shrink LLM memory 20x without changing model weights (venturebeat.com)
2026-03-17 | get Nvidia H100 GPU → | tags: nvidia, kv cache transform coding, large language models
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