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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 Kubermatic Kubernetes Platform?

The Kubermatic Kubernetes Platform (KKP) accelerates the digital transformation journey for businesses by optimizing their cloud operations, no matter where they are located. With KKP, both operations and DevOps teams can effortlessly manage virtual machines and containerized workloads across a variety of environments, such as hybrid-cloud, multi-cloud, and edge setups, all via an intuitive self-service portal tailored for developers and operations alike. As an open-source solution, KKP enables the automation of numerous Kubernetes clusters across different contexts, guaranteeing exceptional density and robustness. This platform allows organizations to create and maintain a multi-cloud self-service Kubernetes environment with a quick time to market, which greatly boosts overall efficiency. Notably, developers and operations teams can launch clusters in less than three minutes on any infrastructure, driving swift innovation. Centralized management of workloads is available through a single dashboard, ensuring a coherent experience whether deployed in the cloud, on-premises, or at the edge. Moreover, KKP enhances the scalability of your cloud-native architecture while upholding enterprise-level governance, which is crucial for maintaining compliance and security throughout the entire infrastructure. This capability not only supports organizations in navigating the complexities of modern cloud environments but also reinforces their ability to stay agile and in control amidst the rapid changes of today's digital world.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Alibaba Cloud Enterprise Network
DigitalOcean
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Kubernetes
Python
Rackspace OpenStack
Red Hat Cloud Suite
VMware Cloud
groundcover

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Alibaba Cloud Enterprise Network
DigitalOcean
Hetzner
JFrog Artifactory
JOpt.TourOptimizer
KubeVirt
Kubernetes
Python
Rackspace OpenStack
Red Hat Cloud Suite
VMware Cloud
groundcover

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Kubermatic

Date Founded

2016

Company Location

Germany

Company Website

kubermatic.com

Categories and Features

Categories and Features

Application Lifecycle Management

Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Enterprise Architecture

Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Idea Management
Modeling & Simulation
Project Management
Risk Assessment
Transformation Roadmapping
Version Control

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

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