#1
Ollama is a local LLM runtime that lets you pull, run, and customize models, offering a CLI and REST API for chat, generation, and embeddings.
179.5k stars17.6k forksMITlast commit Actively maintained
3 self-hosted Anyscale Endpoints alternatives
Managed API endpoints for deploying and serving large language models (LLMs) in production. Provides autoscaling, GPU-backed infrastructure, monitoring, and logging to run inference APIs without maintaining serving stacks.
Alternatives to Anyscale Endpoints
#2
Run LLMs, image, and audio models locally with an OpenAI-compatible API, optional GPU acceleration, and a built-in web UI for managing and testing models.
48.7k stars4.4k forksMITlast commit Actively maintained
#3
Open-source Python framework to build, scale, and deploy multimodal AI services and pipelines with gRPC/HTTP/WebSocket support and Kubernetes/Docker integration.
21.9k stars2.2k forksApache-2.0last commit Slowing down
What replacing Anyscale Endpoints actually involves
Every option on this page is open source and free to run on your own hardware, so you own the data and there is no subscription to cancel. 2 of 3 shipped a commit in the last six months. Licences in this list: MIT, Apache-2.0. In exchange you take on hosting, backups and updates yourself.
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