Comparison
lmdeploy vs vllm-ascend
Verdict
Pick lmdeploy when lmdeploy is primarily Python; vllm-ascend is C++; pick vllm-ascend when vllm-ascend is primarily C++; lmdeploy is Python.
Markdown twin · lmdeploy alternatives · vllm-ascend alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | lmdeploy | vllm-ascend |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 9 low (9 low) As of today · osv@v1 |
Tagline
- lmdeploy
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
- vllm-ascend
- Community maintained hardware plugin for vLLM on Ascend
Stars
- lmdeploy
- 8.0k
- vllm-ascend
- 2.5k
Forks
- lmdeploy
- 703
- vllm-ascend
- 1.7k
Open issues
- lmdeploy
- 597
- vllm-ascend
- 2.4k
Language
- lmdeploy
- Python
- vllm-ascend
- C++
Adopt for
- lmdeploy
- -
- vllm-ascend
- -
Persona
- lmdeploy
- -
- vllm-ascend
- -
Runtime
- lmdeploy
- -
- vllm-ascend
- -
License
- lmdeploy
- Apache-2.0
- vllm-ascend
- Apache License 2.0
Last pushed
- lmdeploy
- Jul 10, 2026
- vllm-ascend
- Jul 11, 2026
Categories
- lmdeploy
- LLM Frameworks, Model Training, Inference & Serving
- vllm-ascend
- LLM Frameworks, Model Training, Inference & Serving
Trust and health
Open issues (now)
- lmdeploy
- 597
- vllm-ascend
- 2.4k
Security scan
- lmdeploy
- No lockfile
- vllm-ascend
- 9 low (9 low)
Full report
- lmdeploy
- Trust report
- vllm-ascend
- Trust report
Choose lmdeploy if…
- lmdeploy is primarily Python; vllm-ascend is C++.
- Tags unique to lmdeploy: codellama, llama, deepspeed, fastertransformer.
- More GitHub stars (8.0k vs 2.5k) - visibility, not fit.
When NOT to use lmdeploy
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Choose vllm-ascend if…
- vllm-ascend is primarily C++; lmdeploy is Python.
- Tags unique to vllm-ascend: llmops, ascend, llm, model-serving.
- vllm-ascend ships Docker support for self-hosted deployment.
- - When you need to deploy large language models on Ascend hardware and leverage vLLM's ecosystem for inference and serving operations.
When NOT to use vllm-ascend
- - When your infrastructure does not include or support Ascend chips, as vllm-ascend is specifically designed to work with Ascend hardware.
- - For environments where flexibility in choosing the underlying hardware is crucial, because vllm-ascend limits this choice by its dependency on Ascend.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (InternLM/lmdeploy) · observed Jul 11, 2026
- GitHub forks (InternLM/lmdeploy) · observed Jul 11, 2026
- Last push (InternLM/lmdeploy) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (vllm-project/vllm-ascend) · observed Jul 11, 2026
- GitHub forks (vllm-project/vllm-ascend) · observed Jul 11, 2026
- Last push (vllm-project/vllm-ascend) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lmdeploy 8.0k · vllm-ascend 2.5k (synced Jul 11, 2026).
Common questions
- What is the difference between lmdeploy and vllm-ascend?
- lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs.. vllm-ascend: Community maintained hardware plugin for vLLM on Ascend. See the comparison table for live GitHub stats and shared categories.
- When should I choose lmdeploy over vllm-ascend?
- Choose lmdeploy over vllm-ascend when lmdeploy is primarily Python; vllm-ascend is C++; Tags unique to lmdeploy: codellama, llama, deepspeed, fastertransformer; More GitHub stars (8.0k vs 2.5k) - visibility, not fit.
- When should I choose vllm-ascend over lmdeploy?
- Choose vllm-ascend over lmdeploy when vllm-ascend is primarily C++; lmdeploy is Python; Tags unique to vllm-ascend: llmops, ascend, llm, model-serving; vllm-ascend ships Docker support for self-hosted deployment; - When you need to deploy large language models on Ascend hardware and leverage vLLM's ecosystem for inference and serving operations.
- When should I avoid lmdeploy?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- When should I avoid vllm-ascend?
- - When your infrastructure does not include or support Ascend chips, as vllm-ascend is specifically designed to work with Ascend hardware. - For environments where flexibility in choosing the underlying hardware is crucial, because vllm-ascend limits this choice by its dependency on Ascend.
- Is lmdeploy or vllm-ascend more popular on GitHub?
- lmdeploy has more GitHub stars (7,952 vs 2,477). Stars measure visibility, not whether either tool fits your constraints.
- Are lmdeploy and vllm-ascend open source?
- Yes - both are open-source projects on GitHub (lmdeploy: Apache-2.0, vllm-ascend: Apache-2.0).
- Where can I find alternatives to lmdeploy or vllm-ascend?
- GraphCanon lists graph-backed alternatives at lmdeploy alternatives and vllm-ascend alternatives (lmdeploy markdown twin, vllm-ascend 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, lmdeploy or vllm-ascend?
- lmdeploy: Very active. vllm-ascend: 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 lmdeploy and vllm-ascend?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmdeploy trust report; vllm-ascend trust report.