For now it is CPU only yes, uses AVX instructions. But it's pretty fast anyway, try it out. I have it running on my mbp M1 and it's pretty decent. I think GPU support will come eventually. I wrote an app that uses the openai API and it was nice and simple to just point it at my own local service instead.
LocalAI is the OpenAI compatible API that lets you run AI models locally on your own CPU! Data never leaves your machine! No need for expensive cloud services or GPUs, LocalAI uses llama.cpp and ggml to power your AI projects!
LocalAI supports multiple models backends (such as Alpaca, Cerebras, GPT4ALL-J and StableLM) and works seamlessly with OpenAI API. Join the LocalAI community today and unleash your creativity!
I took this to extremes last year: I used it to run MAAS from Australia to sweden (which requires layer 2). Granted I used tailscale to make the WireGuard part even easier, but it was a lot of fun.
After many, many long hours working on this bare metal Kubernetes whitepaper, it's FINALLY done and published.
I think I literally did work my a$$ off - at least, sitting in my chair typing this away did make me forget I had legs.
If you are interested in taking a walk down memory lane to see how we got here, how it differs from Virtual Machines, or just want to learn about it - this paper I truly hope will be interesting to you.
It even covers how to practically roll out bare metal Kubernetes and includes a video link (at the end) with a hands on tutorial (also involved in wearing me out).
I’m a new product manager at canonical for maas.io and just spent a fair chunk of time producing a bare metal k8s video tutorial. I did it as a learning exercise and it was really interesting.
Anyway, it uses Juju and a charm called kubernetes-core. I came away impressed (even tho biased) at how easy it was to deploy a cluster, scale it up/down etc. Didn’t see anyone mentioning these in this thread so thought I’d mention it.
I starred this awhile back, it’s the really hard way imo, really great for learning: https://github.com/ghik/kubernetes-the-harder-way