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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 ACRA?

ACRA is a powerful platform designed to facilitate the secure operation and administration of sensitive applications and AI workloads. It employs virtual enclaves and policy controls to manage crucial aspects such as workload identity, access, network boundaries, secrets, and audit visibility. Organizations can deploy ACRA on Kubernetes infrastructure in various settings, including public and private clouds, on-premises, or isolated environments, allowing for centralized management of protected workloads through a single control plane. This platform is specifically crafted for enterprise and government entities handling sensitive or regulated data, making it exceptionally suitable for applications related to defense and critical infrastructure. ACRA's functionalities encompass running containerized applications, performing AI inference, and supporting other workloads that require strict execution controls. Administrators have the authority to define which workloads can interact and access secured resources, while operational dashboards provide comprehensive visibility into activities and events across all managed environments. With its versatile capabilities, ACRA stands out as a vital resource for maintaining the integrity and security of operations involving sensitive data, ensuring that organizations can confidently manage their critical processes. Its adaptability to various deployment scenarios further enhances its value in today’s dynamic technological landscape.

Media

Media

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Integrations Supported

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

Integrations Supported

Kubernetes
Model Context Protocol (MCP)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

dstack

Date Founded

2022

Company Location

Germany

Company Website

dstack.ai/

Company Facts

Organization Name

Valarian

Date Founded

2020

Company Location

United Kingdom

Company Website

www.valarian.com/technology

Categories and Features

AI Control Planes

Not specified

AI Development

Not specified

Categories and Features

AI Security

Not specified

IT Security

Not specified

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