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dstack (K8s alternative) adds support for AMD accelerators on RunPod

dstack.ai

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Re: dstack (K8s alternative) adds support for AMD accelerators on RunPod

#5
post #3

How is this k8s alternative when the homepage is focusing about running LLM models and AI content in containers rather than being for all workloads? Maybe it’s k8s alternative for AI/LLM!

Hi, I’m one of the contributors to dstack! Yes, you’re absolutely right—the title is a bit off. It should be "K8S for AI Teams Only." And yes, there is a lot of focus on LLMs specifically. If you have any other feedback, please share it!

Re: dstack (K8s alternative) adds support for AMD accelerators on RunPod

#9
post #8

Looking forward to trying dStack to deploy NVIDIA NIM and NeMo Microservices.

That’s on our list! We’re actually planning to expand our examples page with a lot more frameworks! Contributors are very welcome to our repo: https://github.com/dstackai/dstack/tree/master/examples/

Re: dstack (K8s alternative) adds support for AMD accelerators on RunPod

#10
post #5
post #3

How is this k8s alternative when the homepage is focusing about running LLM models and AI content in containers rather than being for all workloads? Maybe it’s k8s alternative for AI/LLM!

Hi, I’m one of the contributors to dstack! Yes, you’re absolutely right—the title is a bit off. It should be "K8S for AI Teams Only." And yes, there is a lot of focus on LLMs specifically. If you have any other feedback, please share it!

I think framing it as being able to run LLMs with ease and portability across machines and hardware is an amazing sell. Most guides are very technical and detailed that it’s a barrier for many to self host.