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  1. Home
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  3. /novitalabs/pegaflow
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repoGitHubTrust 82 · PrimaryPublished 17h agoLive · 16h ago

novitalabs/pegaflow

High-performance KV cache storage for LLM inference — GPU offloading, SSD caching, and cross-node sharing via RDMA. Works with vLLM and SGLang.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Covers

newsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsTesla V100 16GB local LLMs, single and dual NVLink benchmarksnewsOpenAI and Broadcom unveil LLM-optimized inference chip

Implements

paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

Related across the graph

newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)paperWattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMsnewsTesla V100 16GB local LLMs, single and dual NVLink benchmarks
Knowledge path·NOpenAI and Broadcom announce chip designed for LLM inference at scale→NOpenAI and Broadcom unveil LLM-optimized inference chip→NI mapped which local LLMs actually fit each RAM tier, 8 to 128GB (open dataset)→Rnovitalabs/pegaflow

Topics

inferencekv-cachellmvllm

Explore

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Graph trust82Primary
Graph score161