Comments (2)
Hi @Phelan164, the short answer is in theory yes (Model-mesh actually started out independently of Kubernetes), but it would require a fair amount of custom setup/configuration, especially if you want to use the built-in model server integration that we have as part of the wider modelmesh-serving framework.
I would strongly recommend using it on Kube via the controller (following quickstart here). You can install local/lightweight Kubernetes clusters using something like minikube or kind.
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@njhill thanks for your suggestion.
Yes, I could work with modelmesh via controller and deploy into kubenetes cluster.
But just want to make very simple development env, so I want to setup modelmesh run in docker and directly interact with that via gRPC.
Related to "custom setup/configuration", could you share some basic guidelines ?
Thanks so much for your support
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Related Issues (20)
- Log reason for unready model mesh container HOT 2
- How to run modelmesh without k8s HOT 1
- Is it possible to log the actual payload data instead of just the number of bytes?
- Incorrect limits in dockerfile when cgroup v2 is used HOT 1
- Model per instance model-mesh by default HOT 1
- Questions about functioning of ModelMesh HOT 9
- rewrite modelmesh from java to golang HOT 1
- Support individual model metrics HOT 3
- Error when enabling TLS for ModelMesh HOT 5
- “Nowhere available to load” error in inference response HOT 4
- fq_names boolean metrics sub-parameter is inverted HOT 1
- OOMKilled Error HOT 2
- ModelMesh serving not working with Kserve Client APIs HOT 1
- Add documentation related to "standalone" use of modelmesh container
- ModelMesh model-loading decision process HOT 10
- Include the resolved model Id in Payloads HOT 1
- Document design decisions for decentralized scaling and share performance evaluation HOT 1
- how about using modelmesh to serve thousands of stable diffusion models HOT 2
- ByteBuf leak observed in production deployment HOT 6
- inference with timeouts leads to Internal error HOT 2
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