Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Stonebranch Reviews & Ratings
    158 Ratings
    Company Website
  • RunPod Reviews & Ratings
    205 Ratings
    Company Website
  • ActiveBatch Workload Automation Reviews & Ratings
    355 Ratings
    Company Website
  • RunMyJobs by Redwood Reviews & Ratings
    246 Ratings
    Company Website
  • 4ALLPORTAL Reviews & Ratings
    68 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    373 Ratings
    Company Website
  • groundcover Reviews & Ratings
    32 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,101 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • LM-Kit.NET Reviews & Ratings
    23 Ratings
    Company Website

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 CAPE?

CAPE has made the process of deploying and migrating applications in Multi-Cloud and Multi-Cluster Kubernetes environments more straightforward than ever before. It empowers users to fully leverage their Kubernetes capabilities with essential features such as Disaster Recovery, which enables effortless backup and restoration for stateful applications. With its strong Data Mobility and Migration capabilities, transferring and managing applications and data securely across private, public, and on-premises environments is now simple. Additionally, CAPE supports Multi-cluster Application Deployment, allowing for the effective launch of stateful applications across various clusters and clouds. The tool's user-friendly Drag & Drop CI/CD Workflow Manager simplifies the configuration and deployment of intricate CI/CD pipelines, making it approachable for individuals of all expertise levels. Furthermore, CAPEâ„¢ enhances Kubernetes operations by streamlining Disaster Recovery, facilitating Cluster Migration and Upgrades, ensuring Data Protection, enabling Data Cloning, and accelerating Application Deployment. It also delivers a comprehensive control plane that allows for the federation of clusters, seamlessly managing applications and services across diverse environments. This innovative solution not only brings clarity to Kubernetes management but also enhances operational efficiency, ensuring that your applications thrive in a competitive multi-cloud ecosystem. As organizations increasingly embrace cloud-native technologies, tools like CAPE are vital for maintaining agility and resilience in application deployment.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$20 per month
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

Biqmind

Company Location

Singapore

Company Website

cape.sh

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

CloudCasa Reviews & Ratings

CloudCasa

CloudCasa by Catalogic