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dstack

Open-source control plane for GPU compute on any cloud.

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Coding & WebOpen SourceWe checked the prices on dstack.ai on 28 Sep 2026.

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What is dstack?

Open-source control plane for GPU compute on any cloud.

Who is dstack best for?

dstack is best for ML teams running GPU jobs across several clouds or their own servers.

  • Teams with GPUs in several clouds

    One control plane and the same YAML configs provision fleets on AWS, GCP, Azure, Nebius, Lambda, Runpod and other GPU clouds.

  • Teams already on Kubernetes or Slurm

    It plugs into existing Kubernetes or Slurm clusters, or plain servers over SSH, and runs training jobs and inference services on top of them.

  • Cutting GPU spend

    dstack Sky lists on-demand and spot GPUs from many providers on one account, so a job that can be interrupted can run on cheaper spot capacity.

  • Data centers selling compute

    dstack Factory adds tenant isolation, usage metering and billing for operators who rent out GPUs or serve tokens to many customers.

How much does dstack cost?

dstack is free and open source when you host it yourself, the hosted dstack Sky charges marketplace GPU rates from $0.97 per GPU-hour on demand, and dstack Factory is sold after a demo call.

dstack (open source)$0Self-hosted
  • You run the dstack server yourself
  • Works with your GPU cloud accounts, Kubernetes, Slurm, VMs or bare metal
  • GPUs are billed by your own cloud or hardware
dstack SkyFrom $0.97Per GPU-hour on demand
  • H100 80GB from $2.89 on demand or $1.09 spot per GPU-hour
  • dstack hosts the server, with a built-in HTTPS gateway and usage metering
  • One account and one bill across the marketplace GPU clouds

dstack Sky marketplace rates vary by cloud partner, per GPU-hour: B300 288GB $7.58 to $17.80 on demand ($3.79 to $6.49 spot), B200 192GB $6.23 to $17.91 ($2.41 to $5.44 spot), H200 141GB $4.20 to $9.89 ($2.10 to $9.89 spot), A100 80GB $1.59 to $5.58 ($0.87 to $4.29 spot), MI300X 192GB $1.99 to $2.99 on demand only; the cheapest spot GPU listed is the A100 40GB from $0.34. If you connect your own cloud accounts to Sky, compute is billed directly by those clouds. dstack Factory, a multi-tenant stack for AI labs and data centers with metering, billing and serverless inference, has no listed price and starts with a demo call. Full pricing on dstack.ai. We checked these prices on .

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Is dstack open source?

Yes. dstack's code is public under the MPL 2.0 licence, so you can run it on your own server.

On GitHub

2,310stars

+31 (+1.4%) in the last 30 days

Last commit
12 Nov
Repository age
4 years
Latest release
12 Nov
Licence
MPL 2.0
Self-hosted
Yes
Repository
dstackai/dstack
Run it yourselfThe code and the steps to put it on your own server are in its repository on GitHub.View on GitHub

What are the best dstack alternatives?

dstack is an open source alternative to ClearML, Saturn Cloud and Tensorfuse.

Questions about dstack

What is dstack?

Open-source control plane for GPU compute on any cloud.

Who is dstack for?

dstack is best for ML teams running GPU jobs across several clouds or their own servers.

Is dstack free?

Yes. dstack is open source and free to self-host: you run the dstack server and pay only your own cloud or hardware costs. The hosted dstack Sky lists no subscription fee but charges marketplace GPU rates, from $0.97 per GPU-hour on demand, when you rent GPUs through it.

How much does dstack cost?

dstack's paid plans are dstack Sky at From $0.97 per GPU-hour on demand.

Is dstack open source?

Yes. dstack's code is public under the MPL 2.0 licence, so you can run it on your own server.

What are the best dstack alternatives?

The closest alternatives on Recaply are ClearML, Saturn Cloud and Tensorfuse.

Where can I try dstack?

On its official website, dstack.ai.

How is dstack Sky different from open-source dstack?

With dstack Sky, dstack hosts and runs the server for you and adds a built-in gateway with an HTTPS domain, advanced observability, usage metering and a GPU marketplace on one bill. The CLI and YAML configs are the same, and both work with your own cloud accounts and on-prem hardware.