Home/Compare/LocalAI vs raft

Comparison

LocalAI vs raft

Verdict

Pick LocalAI if localAI is an open-source AI engine that supports running a variety of models including LLMs, vision, voice, image, and video models on any hardware without requiring a GPU; pick raft if rAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.

Markdown twin · LocalAI alternatives · raft alternatives

GraphCanon updated Sep 20, 2026

10views this month

LocalAI logo

LocalAI

mudler/LocalAI

★ 49kpushed Sep 18, 2026
vs
raft logo

raft

NVIDIA/raft

★ 1.0kpushed Sep 18, 2026

Trust & integrity

SignalLocalAIraft
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

LocalAI
Open-source AI engine for running various models on any hardware
raft
A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.

Stars

LocalAI
49k
raft
1.0k

Forks

LocalAI
4.5k
raft
251

Open issues

LocalAI
178
raft
439

Language

LocalAI
Go
raft
Cuda

Adopt for

LocalAI
LocalAI is an open-source AI engine that supports running a variety of models including LLMs, vision, voice, image, and video models on any hardware without requiring a GPU.
raft
RAFT is a collection of CUDA-accelerated algorithms for high-performance machine learning and information retrieval applications.

Persona

LocalAI
-
raft
-

Runtime

LocalAI
-
raft
-

License

LocalAI
MIT
raft
Apache-2.0

Last pushed

LocalAI
Sep 18, 2026
raft
Sep 18, 2026

Categories

LocalAI
AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
raft
Data & Retrieval, Model Training

Trust and health

Days since push

LocalAI
0d
raft
1d

Open issues (now)

LocalAI
178
raft
439

Stars delta

LocalAI
+650 (30d)
raft
+11 (30d)

Open issues delta

LocalAI
+22 (30d)
raft
-5 (30d)

Owner type

LocalAI
User
raft
Organization

OSV dependency advisories

LocalAI
Published findings
raft
No lockfile (source not queried)

Full report

Choose LocalAI if…

  • LocalAI is primarily Go; raft is Cuda.
  • License: LocalAI is MIT, raft is Apache-2.0.
  • Tags unique to LocalAI: agents, ai, api, audio-generation.
  • Also covers AI Agents, Computer Vision, Inference & Serving, LLM Frameworks, Speech & Audio.
  • LocalAI ships Docker support for self-hosted deployment.
  • When you need to run AI models on hardware that lacks a GPU, as LocalAI supports CPU-only operations.

When NOT to use LocalAI

  • If your project specifically requires GPU acceleration for performance reasons, as LocalAI can run on CPU-only setups but may not offer the same speed as GPU-accelerated alternatives.
  • When you need a tool that is tightly integrated with specific cloud services or proprietary hardware, as LocalAI is designed for flexibility across different hardware types.
  • If your project demands a proprietary solution with commercial support, as LocalAI is an open-source project with community-driven support.

Choose raft if…

  • raft is primarily Cuda; LocalAI is Go.
  • License: raft is Apache-2.0, LocalAI is MIT.
  • Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT..
  • Tags unique to raft: anns, building-blocks, clustering, cuda.
  • - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.

When NOT to use raft

  • - Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains.
  • - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LocalAI 49k · raft 1.0k (synced Sep 20, 2026).

Common questions

What is the difference between LocalAI and raft?
LocalAI: Open-source AI engine for running various models on any hardware. raft: A collection of CUDA-accelerated algorithms for building high-performance machine learning and information retrieval applications.. See the comparison table for live GitHub stats and shared categories.
When should I choose LocalAI over raft?
Choose LocalAI over raft when LocalAI is primarily Go; raft is Cuda; License: LocalAI is MIT, raft is Apache-2.0; Tags unique to LocalAI: agents, ai, api, audio-generation; Also covers AI Agents, Computer Vision, Inference & Serving, LLM Frameworks, Speech & Audio; LocalAI ships Docker support for self-hosted deployment; When you need to run AI models on hardware that lacks a GPU, as LocalAI supports CPU-only operations.
When should I choose raft over LocalAI?
Choose raft over LocalAI when raft is primarily Cuda; LocalAI is Go; License: raft is Apache-2.0, LocalAI is MIT; Requirements: Ensure access to NVIDIA GPUs; Compatibility with CUDA is essential for utilizing the RAFT algorithms effectively.; The user must have familiarity or develop understanding of CUDA programming to optimize their application integration with RAFT.; Tags unique to raft: anns, building-blocks, clustering, cuda; - You are developing on an NVIDIA GPU architecture and require optimized, CUDA-accelerated primitives.
When should I avoid LocalAI?
If your project specifically requires GPU acceleration for performance reasons, as LocalAI can run on CPU-only setups but may not offer the same speed as GPU-accelerated alternatives. When you need a tool that is tightly integrated with specific cloud services or proprietary hardware, as LocalAI is designed for flexibility across different hardware types. If your project demands a proprietary solution with commercial support, as LocalAI is an open-source project with community-driven support.
When should I avoid raft?
- Your application does not have access to NVIDIA GPUs, as RAFT's algorithms leverage CUDA specifically for performance gains. - If your workload requires more generalized machine learning libraries without a dependency on GPU-accelerated primitives and you are working in a multi-platform or cross-vendor environment.
Is LocalAI or raft more popular on GitHub?
LocalAI has more GitHub stars (49,150 vs 1,042). Stars measure visibility, not whether either tool fits your constraints.
Are LocalAI and raft open source?
Yes - both are open-source projects on GitHub (LocalAI: MIT, raft: Apache-2.0).
Where can I find alternatives to LocalAI or raft?
GraphCanon lists graph-backed alternatives at LocalAI alternatives and raft alternatives (LocalAI markdown twin, raft 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, LocalAI or raft?
LocalAI: Very active. raft: 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 LocalAI and raft?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LocalAI trust report; raft trust report.

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