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Comparison

LLM-VM vs kvcached

Verdict

Pick LLM-VM if lLM-VM is a Python-based repository aimed at LLM development, highlighting tools for distillation, training, and inference; pick kvcached if kvcached is designed for optimizing dynamic GPU sharing and multiplexing scenarios, beneficial for LLM inference and serving operations.

Markdown twin · LLM-VM alternatives · kvcached alternatives

GraphCanon updated Sep 20, 2026

11views this month

LLM-VM logo

LLM-VM

anarchy-ai/LLM-VM

★ 492pushed May 14, 2024
vs
kvcached logo

kvcached

ovg-project/kvcached

★ 1.4kpushed Sep 18, 2026

Trust & integrity

SignalLLM-VMkvcached
Maintenance
Dormant (858d since push)
As of Sep 20, 2026 · github_public_v1
Very active (0d since push)
As of Sep 19, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 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
LLM-VM trust reportkvcached trust reportTrust methodology

Tagline

LLM-VM
irresponsible innovation
kvcached
Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond

Stars

LLM-VM
492
kvcached
1.4k

Forks

LLM-VM
139
kvcached
165

Open issues

LLM-VM
130
kvcached
114

Language

LLM-VM
Python
kvcached
Python

Adopt for

LLM-VM
LLM-VM is a Python-based repository aimed at LLM development, highlighting tools for distillation, training, and inference.
kvcached
Kvcached is designed for optimizing dynamic GPU sharing and multiplexing scenarios, beneficial for LLM inference and serving operations.

Persona

LLM-VM
-
kvcached
-

Runtime

LLM-VM
-
kvcached
-

License

LLM-VM
MIT
kvcached
Apache-2.0

Last pushed

LLM-VM
May 14, 2024
kvcached
Sep 18, 2026

Categories

LLM-VM
Inference & Serving, LLM Frameworks, Model Training
kvcached
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

LLM-VM
Dormant (18%)
kvcached
Very active (96%)

Days since push

LLM-VM
858d
kvcached
0d

Open issues (now)

LLM-VM
130
kvcached
114

Stars delta

LLM-VM
+1 (30d)
kvcached
+309 (30d)

Open issues delta

LLM-VM
-1 (30d)
kvcached
+10 (30d)

Full report

LLM-VM
Trust report
kvcached
Trust report

Shared compatibility

  • Python · LLM-VM: Python runtime · kvcached: Python runtime

Choose LLM-VM if…

  • License: LLM-VM is MIT, kvcached is Apache-2.0.
  • Tags unique to LLM-VM: artificial-intelligence, deep-learning, distillation, llm-agent.
  • Also covers Model Training.
  • LLM-VM ships Docker support for self-hosted deployment.
  • When you need streamlined processes for model distillation in your project.

When NOT to use LLM-VM

  • Avoid if strict adherence to responsible AI principles is a requirement.
  • Not recommended for large-scale commercial deployments that necessitate stable and thoroughly validated tools.
GitHubDetails

Choose kvcached if…

  • License: kvcached is Apache-2.0, LLM-VM is MIT.
  • Tags unique to kvcached: elastic-kvcache, gpu-sharing, kvcache.
  • If you are looking to optimize performance in environments that require dynamic allocation of GPUs among multiple processes or tasks.

When NOT to use kvcached

  • For applications where static, predefined resource allocations are sufficient and do not require dynamic adjustments to GPU usage.
  • In scenarios that prioritize simplicity over sophisticated resource management, as Kvcached may add unnecessary complexity with its advanced features for dynamic GPU sharing.
GitHubDetails

Explore

LLM-VM trust report →kvcached trust report →Inference & Serving category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: LLM-VM 492 · kvcached 1.4k (synced Sep 20, 2026).

Common questions

What is the difference between LLM-VM and kvcached?
LLM-VM: irresponsible innovation. 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 LLM-VM over kvcached?
Choose LLM-VM over kvcached when License: LLM-VM is MIT, kvcached is Apache-2.0; Tags unique to LLM-VM: artificial-intelligence, deep-learning, distillation, llm-agent; Also covers Model Training; LLM-VM ships Docker support for self-hosted deployment; When you need streamlined processes for model distillation in your project.
When should I choose kvcached over LLM-VM?
Choose kvcached over LLM-VM when License: kvcached is Apache-2.0, LLM-VM is MIT; Tags unique to kvcached: elastic-kvcache, gpu-sharing, kvcache; If you are looking to optimize performance in environments that require dynamic allocation of GPUs among multiple processes or tasks.
When should I avoid LLM-VM?
Avoid if strict adherence to responsible AI principles is a requirement. Not recommended for large-scale commercial deployments that necessitate stable and thoroughly validated tools.
When should I avoid kvcached?
For applications where static, predefined resource allocations are sufficient and do not require dynamic adjustments to GPU usage. In scenarios that prioritize simplicity over sophisticated resource management, as Kvcached may add unnecessary complexity with its advanced features for dynamic GPU sharing.
Is LLM-VM or kvcached more popular on GitHub?
kvcached has more GitHub stars (1,424 vs 492). Stars measure visibility, not whether either tool fits your constraints.
Are LLM-VM and kvcached open source?
Yes - both are open-source projects on GitHub (LLM-VM: MIT, kvcached: Apache-2.0).
Where can I find alternatives to LLM-VM or kvcached?
GraphCanon lists graph-backed alternatives at LLM-VM alternatives and kvcached alternatives (LLM-VM 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, LLM-VM or kvcached?
LLM-VM: Dormant. kvcached: 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 LLM-VM and kvcached?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLM-VM trust report; kvcached trust report.

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