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LL

llm-d

llm-d.ai·Infrastructure

llm-d is an open-source, high-performance distributed inference serving stack designed for deploying large language models on various hardware accelerators. It provides orchestration, optimization, and benchmarking tools for production ML inference, targeting ML engineers and infrastructure teams.

Open SourceApache-2.0WebCLIAPISelf-hosted
Lllm-d preview
Visit llm-d.ai↗
3.5kstars
553forks
5features
2025since

Overview

5 features

In the AI space, llm-d takes a focused approach. It simplifies and optimizes the deployment of large language models for high-performance inference on diverse hardware. llm-d is an open-source project aimed at machine learning engineers. The project is open source (Apache-2.0). It ships for the web, the command line, and API, and it can be self-hosted.

Behind llm-d is CNCF (Red Hat, Google Cloud, IBM Research, CoreWeave, NVIDIA), and it first shipped in 2025. Development happens publicly on GitHub with 3.5k stars and 530 commits in the last 90 days. Among its 5 catalogued features are distributed inference, kubernetes support, and model orchestration.

Summary written by a language model from the project’s public pages.

  • ✓Distributed inference
  • ✓Kubernetes support
  • ✓Model orchestration
  • ✓Accelerator optimization
  • ✓Benchmarking
Tags
distributed-inferencellm-servingkubernetes-ml
AI capabilities
Text
Inference: HybridWeights: Open

Built with & integrations

Runs on
BrowserCLIAPI-onlySelf-hosted

Trust & compliance

License
Apache-2.0
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 3.5k✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jun · 08:20 UTC
    Listing verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about llm-d

What is llm-d?
Llm-d simplifies and optimizes the deployment of large language models for high-performance inference on diverse hardware. It is catalogued under AI on PulseGate.
Who is llm-d for?
llm-d is an open-source project built for machine learning engineers.
Is llm-d free?
Yes — llm-d is open source under the Apache-2.0 license and free to use.
What platforms does llm-d run on?
llm-d runs on the web, the command line, and API. It can also be self-hosted.
Is llm-d still active?
The GitHub repository shows 530 commits in the last 90 days.
What are alternatives to llm-d?
Similar projects tracked by PulseGate include Mesh LLM, Moncef Abboud, and llm.Mesh LLMMoncef Abboudllm
Who develops llm-d?
llm-d is developed by CNCF (Red Hat, Google Cloud, IBM Research, CoreWeave, NVIDIA).
When did llm-d launch?
llm-d first shipped in 2025.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 3.5k
License
Apache-2.0
Built for
machine learning engineers
Model
Open source
Solves
Simplifies and optimizes the deployment of large language models for high-performance inference on diverse hardware.

Registered as

GitHub
llm-d/llm-d

Developer

CNCF (Red Hat, Google Cloud, IBM Research, CoreWeave, NVIDIA)
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
3,456
Forks
553
Open issues
280
Last commit
27 Jun 2026
Commits 90d
530
Contributors
153
Authorship
Community-driven
Default branch
main
Latest release
v0.8.1 · 26 Jun 2026

Index record

Identity confidence
Medium · 74.8
Indexed
27 Jun 2026
Lifecycle
Alive
Last seen
27 Jun 2026
Identity audit (12)
Slug
llm-d-llm-d-ai
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
27 Jun 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Canonical URL
https://llm-d.ai/

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