Mesh LLM
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and has been in the index since 2 Jul 2026. How this is checked
Mesh LLM is a distributed model inference tool for running large language models across multiple nodes. It is described as a way to run bigger models without buying bigger GPUs, by splitting large models into smaller pieces so memory-bound GPUs can handle smaller layer slices on right-sized nodes.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running large language models on limited hardware by distributing inference across multiple local or networked machines.
Inferred · not functionally tested
Audience: developers and ML engineers
Inferred · not functionally tested
Functions: code_generation, agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: meshllm.cloud · github.com. These links do not verify the individual claims.
Mesh LLM is an Inference & model serving project. Inferred · not functionally tested: It focuses on running large language models on limited hardware by distributing inference across multiple local or networked machines. Inferred · not functionally tested: Mesh LLM is an open-source project aimed at developers and ML engineers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.
Mesh LLM first shipped in 2026. Development happens publicly on GitHub with 1.3k stars and 1.1k commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are distributed inference, OpenAI-compatible API, and model sharding. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Distributed inference
- OpenAI-compatible API
- Model sharding
- Multi-node support
- CLI installation
- Local API endpoint
Topics: Inferred · not functionally tested
Built with & integrations
- openai
- bgpt- in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
- meta_llama
- llama- in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Mesh LLM
- What is Mesh LLM?
- Inferred · not functionally tested: Mesh LLM focuses on running large language models on limited hardware by distributing inference across multiple local or networked machines. It is catalogued under Inference & model serving on PulseGate.
- Who is Mesh LLM for?
- Inferred · not functionally tested: Mesh LLM is an open-source project built for developers and ML engineers.
- Does Mesh LLM have a free plan?
- Basis unknown · not verified: Yes — Mesh LLM is open source under the Apache-2.0 license and free to use.
- What platforms does Mesh LLM run on?
- Basis unknown · not verified: Mesh LLM runs on the web, the command line, and API. It can also be self-hosted.
- Is Mesh LLM still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 1.1k commits in the last 90 days.
- What projects are similar to Mesh LLM?
- Similar projects tracked by PulseGate include llm-d, cloudmesh-ai-llm, and FreeModel.llm-dcloudmesh-ai-llmFreeModel
- When did Mesh LLM launch?
- Mesh LLM first shipped in 2026.
- Is Mesh LLM open source?
- Basis unknown · not verified: Yes — Mesh LLM is open source under the Apache-2.0 license, developed on GitHub.
Similar projects
Closest matches by what these projects do