Comparison
distributed-llama vs Foundry-Local
Verdict
Pick distributed-llama if distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license; pick Foundry-Local if foundry-Local offers SDK and CLI for local GPU-accelerated AI inference, focusing on speech-to-text models such as Whisper, using ONNX Runtime.
Markdown twin · distributed-llama alternatives · Foundry-Local alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | distributed-llama | Foundry-Local |
|---|---|---|
| Maintenance | Steady (50d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- distributed-llama
- Distributed LLM inference using home devices cluster
- Foundry-Local
- SDK and CLI for local AI inference with GPU acceleration, supporting speech-to-text models like Whisper.
Stars
- distributed-llama
- 3.0k
- Foundry-Local
- 2.5k
Forks
- distributed-llama
- 246
- Foundry-Local
- 348
Open issues
- distributed-llama
- 48
- Foundry-Local
- 71
Language
- distributed-llama
- C++
- Foundry-Local
- C++
Adopt for
- distributed-llama
- distributed-llama is a C++ framework that leverages multiple home devices for faster large language model inference, under the MIT license.
- Foundry-Local
- Foundry-Local offers SDK and CLI for local GPU-accelerated AI inference, focusing on speech-to-text models such as Whisper, using ONNX Runtime.
Persona
- distributed-llama
- -
- Foundry-Local
- -
Runtime
- distributed-llama
- -
- Foundry-Local
- -
License
- distributed-llama
- MIT
- Foundry-Local
- SDK is licensed under the MIT License. The CLI uses the Microsoft Software License Terms. Models available with Foundry-Local are individually licensed as per their documentation or download page.
Last pushed
- distributed-llama
- Jul 5, 2026
- Foundry-Local
- Jul 30, 2026
Categories
- distributed-llama
- Inference & Serving
- Foundry-Local
- Inference & Serving, Speech & Audio
Trust and health
Maintenance
- distributed-llama
- Steady (60%)
- Foundry-Local
- Very active (96%)
Days since push
- distributed-llama
- 50d
- Foundry-Local
- 0d
Open issues (now)
- distributed-llama
- 48
- Foundry-Local
- 71
Stars delta
- distributed-llama
- +32 (30d)
- Foundry-Local
- Unknown
Open issues delta
- distributed-llama
- 0 (30d)
- Foundry-Local
- Unknown
Owner type
- distributed-llama
- User
- Foundry-Local
- Organization
Full report
- distributed-llama
- Trust report
- Foundry-Local
- Trust report
Choose distributed-llama if…
- License: distributed-llama is MIT, Foundry-Local is Other.
- Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network.
- When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
When NOT to use distributed-llama
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited.
- In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
Choose Foundry-Local if…
- License: Foundry-Local is Other, distributed-llama is MIT.
- Pricing: Free to use SDK and CLI under MIT and Microsoft licenses, individual AI models subject to their own license terms..
- Tags unique to Foundry-Local: ai-sdk, chat-completions, foundry-local, gpu acceleration.
- Also covers Speech & Audio.
- Need to run AI models locally with GPU acceleration
When NOT to use Foundry-Local
- Require cloud-based inference services for resource-intensive tasks
- Prefer using models not supported by ONNX Runtime or Whisper
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (b4rtaz/distributed-llama) · observed Aug 24, 2026
- GitHub forks (b4rtaz/distributed-llama) · observed Aug 24, 2026
- Last push (b4rtaz/distributed-llama) · observed Jul 5, 2026
- License file (MIT) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (microsoft/Foundry-Local) · observed Jul 30, 2026
- GitHub forks (microsoft/Foundry-Local) · observed Jul 30, 2026
- Last push (microsoft/Foundry-Local) · observed Jul 30, 2026
- License file (Other) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: distributed-llama 3.0k · Foundry-Local 2.5k (synced Aug 24, 2026).
Common questions
- What is the difference between distributed-llama and Foundry-Local?
- distributed-llama: Distributed LLM inference using home devices cluster. Foundry-Local: SDK and CLI for local AI inference with GPU acceleration, supporting speech-to-text models like Whisper.. See the comparison table for live GitHub stats and shared categories.
- When should I choose distributed-llama over Foundry-Local?
- Choose distributed-llama over Foundry-Local when License: distributed-llama is MIT, Foundry-Local is Other; Tags unique to distributed-llama: distributed-computing, llm-inference, neural-network; When you have multiple interconnected home devices and want to maximize their combined computing power for LLM inference tasks.
- When should I choose Foundry-Local over distributed-llama?
- Choose Foundry-Local over distributed-llama when License: Foundry-Local is Other, distributed-llama is MIT; Pricing: Free to use SDK and CLI under MIT and Microsoft licenses, individual AI models subject to their own license terms.; Tags unique to Foundry-Local: ai-sdk, chat-completions, foundry-local, gpu acceleration; Also covers Speech & Audio; Need to run AI models locally with GPU acceleration.
- When should I avoid distributed-llama?
- For scenarios with fewer than two available devices, as the framework's capability to distribute and boost performance would be limited. In professional environments that require strict data privacy controls, due to potential network vulnerabilities among home devices.
- When should I avoid Foundry-Local?
- Require cloud-based inference services for resource-intensive tasks Prefer using models not supported by ONNX Runtime or Whisper
- Is distributed-llama or Foundry-Local more popular on GitHub?
- distributed-llama has more GitHub stars (3,044 vs 2,479). Stars measure visibility, not whether either tool fits your constraints.
- Are distributed-llama and Foundry-Local open source?
- Yes - both are open-source projects on GitHub (distributed-llama: MIT, Foundry-Local: Other).
- Where can I find alternatives to distributed-llama or Foundry-Local?
- GraphCanon lists graph-backed alternatives at distributed-llama alternatives and Foundry-Local alternatives (distributed-llama markdown twin, Foundry-Local markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, distributed-llama or Foundry-Local?
- distributed-llama: Steady. Foundry-Local: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for distributed-llama and Foundry-Local?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: distributed-llama trust report; Foundry-Local trust report.