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What is dstack?

dstack is a powerful orchestration platform that unifies GPU management for machine learning workflows across cloud, Kubernetes, and on-premise environments. Instead of requiring teams to manage complex Helm charts, Kubernetes operators, or manual infrastructure setups, dstack offers a simple declarative interface to handle clusters, tasks, and environments. It natively integrates with top GPU cloud providers for automated provisioning, while also supporting hybrid setups through Kubernetes and SSH fleets. Developers can easily spin up containerized dev environments that connect to local IDEs, allowing them to test, debug, and iterate faster. Scaling from small single-node experiments to large distributed training jobs is effortless, with dstack handling orchestration and ensuring optimal resource efficiency. Beyond training, it enables production deployment by turning any model into a secure, auto-scaling endpoint compatible with OpenAI APIs. The proprietary design ensures lower GPU costs and avoids vendor lock-in, making it attractive for teams balancing flexibility and scalability. Real-world users highlight how dstack accelerates workflows, reduces operational burdens, and improves access to affordable GPUs across multiple providers. Teams benefit from faster iteration cycles, improved collaboration, and simplified governance, especially in enterprise setups. With open-source availability, enterprise support, and quick setup, dstack empowers ML teams to focus on research and innovation rather than infrastructure complexity.

What is Velda?

Velda provides a comprehensive development environment that enables developers to run jobs effortlessly in the cloud or cluster, eliminating the need for extra setup. This streamlined access ensures that developers can instantly utilize computational resources, including GPUs, which are crucial for various tasks such as machine learning training, simulations, and batch processing, all while maintaining a user experience similar to local environments and offering extensive customization options. In addition, this solution enhances workflow efficiency, allowing teams to prioritize innovation over the complexities of infrastructure management. By minimizing the hurdles associated with setup and resource allocation, Velda empowers developers to be more productive and creative in their projects.

Media

Media

No images available

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Python

Integrations Supported

Amazon EC2
Google Compute Engine
Kubernetes

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Open source available.
Contact for enterprise pricing.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Velda

Date Founded

2025

Company Location

United States

Company Website

velda.io

Categories and Features

AI Control Planes

Not specified

AI Development

Not specified

Categories and Features

Application Development

Access Controls/Permissions
Deployment Management
Graphical User Interface
Software Development

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