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What is dstack?
dstack is an open-source control plane for provisioning compute and running AI workloads across clouds, Kubernetes, and bare-metal clusters. Built for both engineers and AI agents, it simplifies infrastructure orchestration for training, inference, and sandbox environments. The tool supports NVIDIA, AMD, TPU, and Tenstorrent GPUs, and integrates natively with major cloud providers and open-source frameworks. dstack eliminates the need for Kubernetes or Slurm by providing a lightweight, container-first interface. Users can define fleets, dev environments, tasks, and services using simple YAML configurations. It is designed to reduce GPU costs through smart orchestration, right-sizing, and support for spot and reserved instances. dstack is trusted by over 100 AI-first companies and is ideal for teams that need to scale ML experiments without infrastructure overhead.
AI Tool Review Summary
Performance Score
4.5/5
Content/Output Quality
High, consistent, and on-brand
Interface
Clean and minimal
AI Technology
LLMNLPComputer Vision
Purpose of Tool
Unified control plane for provisioning compute and running AI workloads across diverse GPU infrastructure.
Compatibility
Works with any cloud, Kubernetes, or bare-metal cluster; integrates with VS Code, Cursor, Windsurf, and OpenAI-compatible endpoints.
Pricing
Freemium with paid tiers
Features
Features with the highest value for users are highlighted here.
Multi-GPU vendor support (NVIDIA, AMD, TPU, Tenstorrent)
Cloud, Kubernetes, and bare-metal provisioning
Fleet management with auto-scaling and idle deprovisioning
Dev environments with VS Code, Cursor, Windsurf integration
Distributed training and batch job scheduling
High-performance inference serving with OpenAI-compatible API
Cost optimization via spot and reserved capacity
SSH fleets for on-prem GPU clusters
Who Is It For?
AI Engineers
ML Researchers
DevOps Teams
Data Scientists
Startups
Enterprise AI Teams
AI Agents
Academic Researchers
MLE Teams
Infrastructure Managers
Pricing
Open Source
$0/free
- Self-hosted
- All core features
- Community support
Sky Free
$0/monthly
- Hosted by dstack
- $5 GPU credits
- Bring your own clouds
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Pros & Cons
Pros
- Simplifies AI infrastructure orchestration without requiring Kubernetes or Slurm expertise.
- Supports a wide range of GPU vendors and deployment options, enabling flexibility and cost savings.
Cons
- May have a learning curve for users unfamiliar with YAML configuration.
- Advanced features like disaggregated inference may require additional setup.
FAQs
Just Launched
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Quick dstack Comparision
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| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
 dstackAI Code Assistant | 4.4 | 8.8K | #2,311,303 | #7,404 | 23s2.2 pages | 47% | GB#507,438 | $0 | Yes | 2+ | View |
 GitHub CopilotAI Code Assistant | 4.6 | 615.2M | #47 | #4 | 6m 23s5.9 pages | 36% | US#76 | $0 | Yes | 1 | View |
 CoddyAI Code Assistant | 4.6 | 2.5M | #17,436 | #440 | 5m 42s6.1 pages | 45% | US#20,516 | $0 | Yes | — | View |
 Blackbox AIAI Code Assistant | 4.7 | 2.4M | #17,589 | #58 | 3m 2s5.8 pages | 36% | ID#2,363 | $0 | Yes | 1 | View |
 AnacondaAI Code Assistant | 4.7 | 1.7M | #25,477 | #314 | 4m 13s5.2 pages | 31% | IN#8,719 | $0 | Yes | 1 | View |
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