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Onboard Katio to Kubernetes services hosted by other cloud vendors #452

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Fei-Guo opened this issue May 30, 2024 · 3 comments
Open

Onboard Katio to Kubernetes services hosted by other cloud vendors #452

Fei-Guo opened this issue May 30, 2024 · 3 comments
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@Fei-Guo
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Fei-Guo commented May 30, 2024

### Tasks
- [ ] https://github.com/Azure/kaito/pull/357
- [ ] https://github.com/Azure/kaito/pull/360
- [ ] https://github.com/Azure/kaito/pull/364
- [ ] https://github.com/Azure/kaito/pull/518
- [ ] https://github.com/Azure/kaito/pull/602
- [x] Test: verify Kaito works on AWS using self-provisioned gpu-nodes
- [x] Test: verify Kaito works on AWS with Karpenter integration
- [ ] Add installation script for AWS
- [ ] Update docs
- [ ] add/update tests
- [ ] https://github.com/Azure/kaito/pull/650
@Fei-Guo Fei-Guo converted this from a draft issue May 30, 2024
@Fei-Guo
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Fei-Guo commented May 30, 2024

We will start from deploying Kaito in AWS since AWS does support Karpenter, making the integration easier.

@Fei-Guo Fei-Guo changed the title Onboard Katio to Kubernetes services hosted by other cloud vendor Onboard Katio to Kubernetes services hosted by other cloud vendors May 30, 2024
@javaniecampbell
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javaniecampbell commented Aug 2, 2024

Hey all, just quick question does this feature enhancement will it include self-hosted kubernetes, I checked a few places but wasn't sure so I figured maybe this could be right place to see if this is considered?

The consideration is that some will need for self-host community, home-labs and companies, etc that need the llms to be ran locally.

@Fei-Guo
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Fei-Guo commented Aug 14, 2024

Hey all, just quick question does this feature enhancement will it include self-hosted kubernetes, I checked a few places but wasn't sure so I figured maybe this could be right place to see if this is considered?

The consideration is that some will need for self-host community, home-labs and companies, etc that need the llms to be ran locally.

You can run Kaito in selfmanaged k8s if you already add GPU nodes in the cluster (with proper gpu driver and k8s plugin installed). In this case, you can just add those nodes in the Kaito workspace CR as preferrednodes in the Resource spec. Kaito will skip provisioning gpu nodes and just run inference workload in the existing nodes.

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