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 D2iQ?

D2iQ's Enterprise Kubernetes Platform (DKP) is designed to facilitate the deployment of Kubernetes workloads at scale, making it easier for organizations to adopt and manage advanced applications across various infrastructures, including on-premises, cloud, air-gapped settings, and edge environments. By addressing the most significant challenges faced in enterprise Kubernetes deployment, DKP offers a unified management interface that streamlines the journey to production while ensuring robust control over applications in any environment. Key features include out-of-the-box Day 2 readiness without vendor lock-in, simplified Kubernetes adoption processes, and guarantees of consistency, security, and performance across distributed systems. Furthermore, DKP empowers organizations to swiftly deploy machine learning applications and fast data pipelines, all while tapping into cloud-native expertise to maximize operational efficiency. This platform not only enhances existing capabilities but also paves the way for future growth and innovation in cloud-native environments.

Media

Media

Integrations Supported

Microsoft Azure
AWS Cloud9
Amazon EKS
Amazon Web Services (AWS)
Apache Cassandra
Apache Kafka
Azure Kubernetes Service (AKS)
Datadog
Flux
Google Kubernetes Engine (GKE)
IBM Kubecost
Istio
Marathon
Open Container Initiative (OCI)
Oracle Container Engine for Kubernetes
PagerDuty
Prometheus
Python
ServiceNow Cloud Observability
Slack

Integrations Supported

Microsoft Azure
AWS Cloud9
Amazon EKS
Amazon Web Services (AWS)
Apache Cassandra
Apache Kafka
Azure Kubernetes Service (AKS)
Datadog
Flux
Google Kubernetes Engine (GKE)
IBM Kubecost
Istio
Marathon
Open Container Initiative (OCI)
Oracle Container Engine for Kubernetes
PagerDuty
Prometheus
Python
ServiceNow Cloud Observability
Slack

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

D2iQ

Date Founded

2013

Company Location

United States

Company Website

d2iq.com

Categories and Features

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Popular Alternatives

Popular Alternatives