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dgxllm

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on PyPI and has been in the index since 2 Aug 2026. How this is checked

dgxllm is a Python package that enables running large LLMs across two NVIDIA DGX Sparks using vLLM for tensor parallelism. It provides a model picker, simple one-command start and stop functionality, and exposes an Anthropic-compatible API endpoint suitable for tools like Claude Code. Designed for developers needing efficient local LLM inference on specialized NVIDIA hardware.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

5 features

Purpose: Running large language models efficiently across multiple NVIDIA DGX Spark GPUs with simple controls and compatibility for Claude Code.

Inferred · not functionally tested

Audience: developers

Inferred · not functionally tested

Functions: Unknown

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: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org. These links do not verify the individual claims.

dgxllm is an Inference & model serving project. Inferred · not functionally tested: It focuses on running large language models efficiently across multiple NVIDIA DGX Spark GPUs with simple controls and compatibility for Claude Code. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: dgxllm is available on the command line, and it can be self-hosted.

dgxllm first shipped in 2026. Inferred · not functionally tested: Among its 5 catalogued features are Model Picker, One-Command Start/Stop, and Anthropic-Compatible API. 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

  • Model Picker
  • One-Command Start/Stop
  • Anthropic-Compatible API
  • Tensor Parallelism
  • vLLM Integration

Topics: Inferred · not functionally tested

Tags
llm-inferencevllm-wrapperdgx-sparktensor-parallelanthropic-compatible
AI capabilities
Text
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropic
Connectors
API
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen Source

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed2 Aug · 11:38 UTC
    dgxllm seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about dgxllm

What does dgxllm do?
Inferred · not functionally tested: Dgxllm focuses on running large language models efficiently across multiple NVIDIA DGX Spark GPUs with simple controls and compatibility for Claude Code. It is catalogued under Inference & model serving on PulseGate.
Who should use dgxllm?
Inferred · not functionally tested: dgxllm is an open-source project built for developers.
Is dgxllm free?
Basis unknown · not verified: Yes — dgxllm is open source under the MIT license and free to use.
What platforms does dgxllm run on?
Basis unknown · not verified: dgxllm runs on the command line. It can also be self-hosted.
Is dgxllm still active?
PulseGate's liveness check found it on 14 Sep 2026.
When did dgxllm launch?
dgxllm first shipped in 2026.
Is dgxllm open source?
Basis unknown · not verified: Yes — dgxllm is open source under the MIT license.
Does dgxllm have an API or integrations?
Inferred · not functionally tested: Yes — dgxllm exposes a public API.

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