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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 ZEDEDA?

ZEDEDA provides a user-friendly and scalable cloud-based orchestration platform that significantly improves visibility, control, and security in distributed edge environments, enabling users to deploy and manage applications seamlessly across any hardware while connecting with various cloud or on-premises systems. By leveraging ZEDEDA, customers can easily deploy and manage any edge compute node, which helps them harness the potential of IoT data for timely decision-making. The platform's design allows for the execution of any application on any hardware without being tied to a specific vendor, facilitating the simultaneous operation of both legacy and cloud-native applications. It also streamlines the management process by allowing bulk application deployments with a single click. Moreover, ZEDEDA incorporates strong security protocols to prevent hardware spoofing, detect anomalies in the software stack, and uphold device integrity. Users benefit from the ability to monitor and control data flows across applications and nodes, which aids in quickly identifying any suspicious activities. The platform further aids in meeting regulatory compliance standards and helps minimize risks related to data breaches and leaks. In addition, ZEDEDA automates the deployment and management of applications and system software straight from the cloud, making the edge computing experience much more efficient. This all-encompassing solution not only empowers organizations to maximize their edge infrastructure but also ensures adherence to the highest levels of security and compliance, ultimately driving operational excellence.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Kubernetes
MicroK8s
NVIDIA DRIVE
Python
Xilinx

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Kubernetes
MicroK8s
NVIDIA DRIVE
Python
Xilinx

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

ZEDEDA

Date Founded

2016

Company Location

United States

Company Website

zededa.com/product/

Categories and Features

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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