Comparison
airllm vs kvcached
Verdict
Pick airllm when airllm is primarily Jupyter Notebook; kvcached is Python; pick kvcached when kvcached is primarily Python; airllm is Jupyter Notebook.
Markdown twin · airllm alternatives · kvcached alternatives
GraphCanon updated today
Trust & integrity
| Signal | airllm | kvcached |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Active (9d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 4 low (4 low) As of 2d · osv@v1 | No lockfile As of today · none |
Tagline
- airllm
- AirLLM 70B inference with single 4GB GPU
- kvcached
- Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond
Stars
- airllm
- 22k
- kvcached
- 1.1k
Forks
- airllm
- 2.6k
- kvcached
- 122
Open issues
- airllm
- 106
- kvcached
- 90
Language
- airllm
- Jupyter Notebook
- kvcached
- Python
Adopt for
- airllm
- AirLLM is a notable framework designed specifically for running large language models on low-resource hardware, such as a single 4GB GPU.
- kvcached
- -
Persona
- airllm
- -
- kvcached
- -
Runtime
- airllm
- -
- kvcached
- -
License
- airllm
- Apache-2.0
- kvcached
- Apache-2.0
Last pushed
- airllm
- Jul 11, 2026
- kvcached
- Jul 2, 2026
Categories
- airllm
- Inference & Serving
- kvcached
- LLM Frameworks, Inference & Serving
Trust and health
Maintenance
- airllm
- Very active (96%)
- kvcached
- Active (82%)
Days since push
- airllm
- 0d
- kvcached
- 9d
Open issues (now)
- airllm
- 106
- kvcached
- 90
Owner type
- airllm
- User
- kvcached
- Organization
Security scan
- airllm
- 4 low (4 low)
- kvcached
- No lockfile
Full report
- airllm
- Trust report
- kvcached
- Trust report
Choose airllm if…
- airllm is primarily Jupyter Notebook; kvcached is Python.
- Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply..
- Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences..
- Tags unique to airllm: llama, chinese llm, instruct-gpt, generative-ai.
- If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
When NOT to use airllm
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency.
- Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
Choose kvcached if…
- kvcached is primarily Python; airllm is Jupyter Notebook.
- Tags unique to kvcached: kvcache-optimization, kvcached, elastic-kvcache, gpu-mutiplexing.
- Also covers LLM Frameworks.
When NOT to use kvcached
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lyogavin/airllm) · observed Jul 11, 2026
- GitHub forks (lyogavin/airllm) · observed Jul 11, 2026
- Last push (lyogavin/airllm) · 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 9, 2026
- GitHub stars (ovg-project/kvcached) · observed Jul 11, 2026
- GitHub forks (ovg-project/kvcached) · observed Jul 11, 2026
- Last push (ovg-project/kvcached) · observed Jul 2, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: airllm 22k · kvcached 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between airllm and kvcached?
- airllm: AirLLM 70B inference with single 4GB GPU. kvcached: Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond. See the comparison table for live GitHub stats and shared categories.
- When should I choose airllm over kvcached?
- Choose airllm over kvcached when airllm is primarily Jupyter Notebook; kvcached is Python; Pricing: Free and open-source under the Apache-2.0 license; however, infrastructure costs apply.; Requirements: Min 16 GB RAM; A single 4GB GPU is sufficient for using this framework to run large language model inferences.; Tags unique to airllm: llama, chinese llm, instruct-gpt, generative-ai; If you have limited hardware resources but need to perform inferences on large language models (like the 70B parameter model that AirLLM supports), use AirLLM.
- When should I choose kvcached over airllm?
- Choose kvcached over airllm when kvcached is primarily Python; airllm is Jupyter Notebook; Tags unique to kvcached: kvcache-optimization, kvcached, elastic-kvcache, gpu-mutiplexing; Also covers LLM Frameworks.
- When should I avoid airllm?
- Avoid using AirLLM if you require models to run on higher-end GPUs or multiple GPU clusters, as its strength lies in low-resource efficiency. Do not use AirLLM if you are working primarily with non-Chinese language datasets and models, since support for other languages may be less optimized compared to competition.
- When should I avoid kvcached?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- Is airllm or kvcached more popular on GitHub?
- airllm has more GitHub stars (22,399 vs 1,093). Stars measure visibility, not whether either tool fits your constraints.
- Are airllm and kvcached open source?
- Yes - both are open-source projects on GitHub (airllm: Apache-2.0, kvcached: Apache-2.0).
- Where can I find alternatives to airllm or kvcached?
- GraphCanon lists graph-backed alternatives at airllm alternatives and kvcached alternatives (airllm markdown twin, kvcached 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, airllm or kvcached?
- airllm: Very active. kvcached: 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 airllm and kvcached?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: airllm trust report; kvcached trust report.