Open Source
OpenModelZ
Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)
Our verdict
We have not reviewed OpenModelZ yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About OpenModelZ
OpenModelZ is an open-source tool that autoscales LLM inference deployments (vLLM, SGLang, LMDeploy) on Kubernetes and other platforms. It monitors inference workloads and adjusts resources to maintain performance while minimizing over-provisioning.
Best for
Teams operating LLM inference services on Kubernetes who need workload-driven autoscaling.
Use cases
- Automatically scale vLLM deployments based on request load
- Optimize GPU utilization for SGLang inference servers
- Manage dynamic inference capacity for LMDeploy on Kubernetes
Notes
283 stars on GitHub. Last updated 2023-11-03. Licensed Apache-2.0.
Pros
- Open source with a permissive license (community-driven)
- Written in Go for efficient resource usage and fast startup
- Supports multiple popular LLM serving frameworks
Cons
- Relatively small community (283 stars) may limit support and contributions
- Requires Kubernetes knowledge to deploy and configure
- May not handle complex, multi-model inference scenarios out of the box
Key facts
What we have checked
- GitHub stars
- 284
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How OpenModelZ is growing
283 to 284
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.