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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 Total Uptime Cloud Load Balancer?

Why confine your data management to a single cloud provider with a restrictive load balancer when there are more versatile alternatives available? With capabilities spanning Multi-Cloud, Hybrid-Cloud, Data Centers, and On-Premises, our solution is universally applicable. Total Uptime empowers you to oversee all incoming traffic, allowing you to navigate around network disruptions and ISP complications while shielding against malicious threats and attacks. It seamlessly integrates devices located in colocation facilities, on-premises, and across various cloud environments, enhancing their performance and speed. This approach grants you unparalleled control and insight, ensuring that your operations remain efficient regardless of their location. Furthermore, this flexibility not only boosts resilience but also optimizes resource allocation across diverse infrastructures.

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
DigitalOcean
GoDaddy

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$49.00/month
Various subscription levels available from small business to enterprise.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Total Uptime Technologies

Date Founded

2011

Company Location

United States

Company Website

totaluptime.com/solutions/cloud-load-balancing/

Categories and Features

AI Control Planes

Not specified

AI Development

Not specified

Categories and Features

Load Balancing

Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload

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Popular Alternatives

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