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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 Devtron?

Devtron is an AI-powered DevOps platform focused on Kubernetes that seeks to simplify and unify the complete application delivery cycle, infrastructure management, and operational activities through a single control interface. By integrating key DevOps features like CI/CD, GitOps, security protocols, monitoring, cost management, and debugging resources, it alleviates the burden of handling numerous disconnected tools and dashboards. This platform acts as a centralized control layer for Kubernetes configurations, enabling teams to deploy, oversee, manage, and troubleshoot applications across both multi-cloud and on-premises clusters while guaranteeing full visibility and governance. Moreover, it includes Kubernetes-native CI/CD pipelines with no-code workflows, orchestration across diverse environments, deployment approvals, and reusable templates, which together promote faster and more reliable software delivery and reduce the need for manual interventions. Consequently, organizations can enhance their efficiency and ensure greater consistency throughout their development workflows, ultimately leading to improved productivity and streamlined operations.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Amazon EKS
Amazon Elastic Container Registry (ECR)
Bamboo
CircleCI
Datadog
Docker Scout
GitHub Actions
GitLab
Grafana Cloud
Jira
Kubernetes
LDAP
Microsoft 365
Microsoft Teams
Prometheus
SonarQube Cloud
Tekton

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$999 per month
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
Webinars
Online Training

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Devtron

Date Founded

2019

Company Location

United States

Company Website

devtron.ai/

Categories and Features

AI Control Planes

Not specified

AI Development

Not specified

Categories and Features

Container Management

Not specified

Continuous Delivery

Not specified

DevOps

Not specified

Observability

Not specified

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