dstack

dstack is an open-source tool designed to enhance the efficiency of running ML workloads in any cloud (AWS, GCP, Azure, Lambda, etc). It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in.

Features

dstack is an open-source tool that simplifies LLM development across multiple clouds
To use dstack, install it with pip, and start the server
To run a configuration, use the dstack run command and pass the path to the directory with the configuration
The CLI automatically provisions the required cloud resources and forwards the ports to your local machine
Licensed under the Mozilla Public License
A configuration is a YAML file that describes what you want to run

Project Samples

Project Activity

See All Activity >

License

Mozilla Public License 1.0 (MPL)

Follow dstack

dstack Web Site

Other Useful Business Software

Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.

Try Free

Rate This Project

User Reviews

Be the first to post a review of dstack!

Additional Project Details

Operating Systems

Mac

Programming Language

Python

Related Categories

Python Machine Learning Software, Python LLM Inference Tool

Registered

2023-07-19

Similar Business Software

Teradata VantageCloud

Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and...

See Software
Google Cloud BigQuery

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely...

See Software
Vertex AI

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery...

See Software
LM-Kit.NET

LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making...

See Software
RunPod

RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports...

See Software
Google AI Studio

Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use...

See Software