Open Source Anyscale Alternatives
A curated collection of the 1 best open source alternatives to Anyscale.
The best open source alternative to Anyscale is dstack. If that doesn't suit you, we've compiled a ranked list of other open source Anyscale alternatives to help you find a suitable replacement.
Anyscale alternatives are mainly Machine Learning Infrastructure. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Anyscale.
Control plane for GPU provisioning and orchestration across clouds, Kubernetes and on-prem clusters, for teams training and serving models.
dstack is a unified control plane for GPUs. It provisions and orchestrates compute wherever that compute happens to live, on a GPU cloud, a Kubernetes cluster or servers in your own rack, and gives development, training and inference one interface instead of one per provider.
A server holds the state and the backend configuration, and the CLI, a programmatic API or installed agent skills talk to it. Cloud and Kubernetes compute needs backends configured, while on-prem machines need none and simply join as SSH fleets. Work is described in YAML files kept inside the repository and applied with one command, after which dstack handles provisioning, job queuing, autoscaling, networking, volumes, run failures, out of capacity errors and port forwarding.
Configurations come in a fixed set of kinds.
- Fleets: provision and manage clusters across clouds, Kubernetes and on-prem hardware.
- Dev environments: launch a machine an IDE or an agent can attach to.
- Tasks: run training or batch jobs on a single node or across a cluster.
- Services: deploy model inference as secure, scalable endpoints.
- Volumes: manage instance and network volumes so data outlives a run.
- Presets: agent driven inference optimization, still marked experimental.
NVIDIA, AMD, Google TPU and Tenstorrent accelerators are supported out of the box, and the project is licensed under the Mozilla Public License 2.0. The server and CLI install on Linux, macOS and Windows through WSL 2, requiring Git and OpenSSH. Agent skills can be added so Claude, Codex or Cursor create fleets and submit workloads on your behalf.
