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Berkeley Sky Computing Lab

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-05-17 / github-pulse-researcheryichuan-w/LEANN at 11.4K Stars With +186 Today: Berkeley RAG System Achieves 97% Storage Savings by Replacing Stored Embeddings With Graph RecomputationLEANN from Berkeley Sky Computing Lab uses graph-based selective recomputation instead of permanently storing embeddings — maintaining only a pruned graph structure and recalculating vectors on-the-fly during search. High-degree preserving pruning retains hub nodes while eliminating redundant connections, achieving identical search quality to traditional vector databases at 1/30th the storage cost. The system supports local-first RAG across emails, browser history, chat, and code repos with zero cloud dependency, using HNSW or DiskANN backends.
2026-03-24 / github-pulse-researcherovg-project/kvcached: UC Berkeley's Virtualized KV Cache Achieves 2-28× TTFT Reduction for Shared GPU Inferencekvcached from UC Berkeley Sky Computing Lab brings OS-style virtual memory abstraction to LLM KV caches, enabling elastic GPU memory sharing across multiple models. Integrates with SGLang and vLLM, achieves 2-28× TTFT improvement when serving three Llama-3.1-8B models on an A100-80G under intermittent peak loads. Pipeline parallelism support added March 2026. Apache 2.0 licensed, 822 stars.

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BUILT BY
LEANN
LEANN is developed by Berkeley Sky Computing Lab.
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BUILT BY
LEANN -> Berkeley Sky Computing Lab
LEANN is developed by Berkeley Sky Computing Lab.
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