dstack

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dstack is an open-source container orchestration platform designed to simplify the development and deployment of AI workloads. It provides a versatile alternative to Kubernetes and Slurm, offering seamless integration with top cloud providers (AWS, Azure, GCP) and on-prem servers. dstack supports diverse hardware options, including NVIDIA, AMD, and TPU, and enables efficient management of AI tasks, models, and services. Whether you’re deploying web apps or fine-tuning models, dstack offers a streamlined and cost-effective solution for managing AI infrastructure.

Key Features:

Open-source and self-hosted solution for AI container orchestration.
Supports multiple cloud providers and on-prem servers.
Easy setup of dev environments, tasks, services, and fleets.
Auto-scaling for web apps and models with customizable configurations.
Compatible with NVIDIA, AMD, and TPU hardware.
Pay-per-use pricing model for hosted solutions via dstack Sky.
Simple integration with Docker and Kubernetes for scalable infrastructure.

Disclaimer: Please refer to the website for the most accurate and current pricing details and service offerings.

Best for:

ML engineers and researchers seeking a cost-effective, open-source solution for managing AI workloads.
Teams in need of flexible, scalable infrastructure for deploying and managing AI models.
Developers looking to easily provision remote environments with their preferred IDEs and tools.
Businesses that require efficient management of cloud and on-prem AI resources.
Startups and small companies aiming to leverage advanced AI infrastructure without high premiums.
Organizations seeking to streamline the deployment and scaling of web apps or models.
Enterprises looking for a customizable platform to handle AI development and deployment at scale.

dstack simplifies the AI infrastructure process, enabling users to focus on innovation while reducing the complexities of managing cloud and on-prem resources.

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