dstack

Open Source

Model Training and Orchestration Updated Feb 15, 2026

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Compared with 22 other Model Training and Orchestration agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Distributed model training on GPU clusters Automated job scheduling for ML experiments Resource-efficient orchestration of containerized workloads Simplified deployment of ML pipelines

⚖️ Pros & Cons

✅ Pros

Open-source and self-hostable for full control
Optimizes GPU utilization for cost efficiency
Reduces infrastructure management overhead

❌ Cons

Requires setup and maintenance for self-hosting
May lack enterprise support options compared to commercial solutions
Limited pre-built integrations compared to some managed platforms

Overview

dstack is an open-source container orchestrator designed to streamline workload management and optimize GPU utilization for machine learning workflows. It provides a simplified interface for deploying and managing ML training jobs, reducing infrastructure complexity.

Problem It Solves

It eliminates the manual overhead of managing GPU resources and containerized ML workloads, enabling teams to focus on model development rather than infrastructure.

Target Audience: Developers and teams working with model training and orchestration automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are dstack, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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