Dstack for Web

Overview of dstack for LLM projects

dstack is an open-source platform built to simplify the development and deployment of large language models across multiple cloud providers. It helps teams run LLM workloads efficiently by balancing GPU availability and cost while enabling jobs to run smoothly across different clouds. The interface is designed to make defining and launching tasks straightforward, whether you need batch processing or web services.

Primary capabilities

• Orchestrates jobs across several cloud providers and selects GPU resources based on price and availability.
• Lets developers define on-demand tasks for both batch runs and web apps with minimal friction.
• Provides convenient access to provisioned development environments from a local desktop IDE.
• Streamlines lifecycle activities like model fine-tuning, serving, and performance tuning.

Integrations and practical examples

• Includes sample projects that demonstrate serving models with FastAPI and accelerating inference with vLLM.
• Shows step-by-step examples for fine-tuning models and deploying them in production-like settings.
• Offers templates and snippets that make it easier to adapt the examples to your own workloads.

Documentation and community help

dstack comes with comprehensive documentation and an active user community to help with setup and troubleshooting. These resources reduce onboarding time and make it easier to adopt dstack for new or existing LLM projects.

Alternative options

• Roboweb — commercial option (paid)
• Other hosted or open solutions may fit different budgets or integration needs, depending on your constraints and preferences.