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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 Spot Ocean?

Spot Ocean allows users to take full advantage of Kubernetes, minimizing worries related to infrastructure management and providing better visibility into cluster operations, all while significantly reducing costs. An essential question arises regarding how to effectively manage containers without the operational demands of overseeing the associated virtual machines, all while taking advantage of the cost-saving opportunities presented by Spot Instances and multi-cloud approaches. To tackle this issue, Spot Ocean functions within a "Serverless" model, skillfully managing containers through an abstraction layer over virtual machines, which enables the deployment of Kubernetes clusters without the complications of VM oversight. Additionally, Ocean employs a variety of compute purchasing methods, including Reserved and Spot instance pricing, and can smoothly switch to On-Demand instances when necessary, resulting in an impressive 80% decrease in infrastructure costs. As a Serverless Compute Engine, Spot Ocean simplifies the tasks related to provisioning, auto-scaling, and managing worker nodes in Kubernetes clusters, empowering developers to concentrate on application development rather than infrastructure management. This cutting-edge approach not only boosts operational efficiency but also allows organizations to refine their cloud expenditure while ensuring strong performance and scalability, leading to a more agile and cost-effective development environment.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
CloudCheckr
Google Cloud Platform
Kubernetes
Microsoft Azure
Python
Spot by NetApp

Integrations Supported

Amazon Web Services (AWS)
CloudCheckr
Google Cloud Platform
Kubernetes
Microsoft Azure
Python
Spot by NetApp

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

Spot by NetApp

Date Founded

2015

Company Location

United States

Company Website

spot.io/product/ocean/

Categories and Features

Categories and Features

Cloud Management

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

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

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

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