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Mesh LLM is a framework that pools GPUs and memory across machines to expose a unified OpenAI-compatible API for running large language models. It supports distributed inference with automatic routing, stage splits for oversized models, and both public and private mesh configurations.
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Summary
Mesh LLM is a framework that pools GPUs and memory across machines to expose a unified OpenAI-compatible API for running large language models. It supports distributed inference with automatic routing, stage splits for oversized models, and both public and private mesh configurations.
Tags
mesh-llm · distributed-inference · gpu-pooling · openai-api · large-language-models · skippy-splits · framework
Key entities
Mesh LLM (technology, 0.99) · OpenAI API (technology, 0.95) · Skippy stage splits (technology, 0.9) · GGUF (technology, 0.85) · Nostr discovery (technology, 0.8) · Mixture-of-Agents (concept, 0.88) · Qwen3-8B (technology, 0.85) · GLM-4.7-Flash (technology, 0.85) · Flash-MoE (technology, 0.8) · Mesh-LLM (organization, 0.9)
Classification
framework · language en · status final
Provenance
claude-haiku-4-5 via @stacklist/be@0.1.0, confidence 0.85, 12 Jul 2026