Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Alternatives to Consider

  • BAND Reviews & Ratings
    5.0 out of 5 stars 3 Ratings
    Company Website for BAND
  • Stonebranch Reviews & Ratings
    4.5 out of 5 stars 183 Ratings
    Company Website for Stonebranch
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • ActiveBatch Workload Automation Reviews & Ratings
    4.5 out of 5 stars 383 Ratings
    Company Website for ActiveBatch Workload Automation
  • Chainstack Reviews & Ratings
    4.8 out of 5 stars 35 Ratings
    Company Website for Chainstack
  • RunMyJobs by Redwood Reviews & Ratings
    4.8 out of 5 stars 424 Ratings
    Company Website for RunMyJobs by Redwood
  • Google Cloud Speech-to-Text Reviews & Ratings
    4.5 out of 5 stars 443 Ratings
    Company Website for Google Cloud Speech-to-Text
  • 4ALLPORTAL Reviews & Ratings
    4.5 out of 5 stars 78 Ratings
    Company Website for 4ALLPORTAL
  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • JS7 JobScheduler Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for JS7 JobScheduler

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 Aditya Protocol?

The Aditya Protocol acts as a regulatory framework for operations that have undergone careful examination, specifically tailored for teams working with AI agents, scripts, CI/CD workflows, internal applications, and automation processes that are nearing production stages. This cutting-edge system allows technical teams to systematically request, review, approve, implement, and document essential operational tasks while ensuring human oversight, featuring components such as validated command sequences, rationale prompts, approval tracking, execution histories, artifacts, guidance on access tokens, node tokens, configuration controls, and workflows designed to provide documentation. At present, the Aditya Protocol is accessible through a limited supervised pilot initiative that includes a select group of trusted technical reviewers and service-provider partners; it is important to note that this protocol is not meant for extensive public deployment, certification, legal advice, or to replace human judgment in operational tasks. Consequently, the emphasis of the protocol lies in maintaining human supervision throughout all operational activities it governs, ensuring accountability and reliability in execution. The focus on human involvement underscores the protocol's commitment to enhancing safety and integrity in critical processes.

Media

Media

No images available

Integrations Supported

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

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$79/month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Aditya Labs

Date Founded

2026

Company Location

United Kingdom

Company Website

adityaprotocol.com

Categories and Features

AI Control Planes

Not specified

AI Development

Not specified

Categories and Features

Agentic AI

Not specified

AI Control Planes

Not specified

Popular Alternatives

Popular Alternatives

JFrog Artifactory Reviews & Ratings

JFrog Artifactory

JFrog
5.0 out of 5 stars
Inficy Reviews & Ratings

Inficy

Artnames Ltd