AI Builder's Toolkit

Run LLMs locally with one command. Supports Llama, Mistral, and more.

Serverless Python for ML. Run code on GPUs without DevOps.

Managed vector database. Easy to use, scales well.

Fast LLM serving with PagedAttention. Production-ready.

Experiment tracking, model versioning, and collaboration.

Framework for building LLM applications with chains.

The GitHub for ML. Models, datasets, and Spaces for hosting.

One API for all LLMs. Claude, GPT-4, Llama, and more.

Fast inference for open-source models at low cost.

Run ML models in the cloud with simple API.

Blazing fast LLM inference with custom hardware.

Enterprise-focused LLM API with strong embeddings.

Affordable GPU cloud with spot instances and templates.

GPU cloud built for ML. Simple pricing, good availability.

P2P GPU marketplace. Cheapest GPUs, less reliable.

GPU cloud with Gradient notebooks and deployments.

Open-source vector database with rich features.

Lightweight embedding database. Great for prototyping.

High-performance vector search with filtering.

Serverless vector database built on Lance format.

Extract text and data from any document format.

Framework for serving ML models at scale.

Modern Python web framework. Perfect for ML APIs.

Scalable model serving from the Ray ecosystem.

Build ML web apps in minutes. Great for demos.

Turn data scripts into shareable web apps.

Open-source MLOps platform. Tracks experiments and models.

Observability for LLM applications. Traces and analytics.

LLM observability with cost tracking and caching.

ML observability for production models.

Data framework for LLM apps. Great for RAG.

Structured outputs from LLMs with Pydantic.

Programming—not prompting—LMs with optimizable modules.

AI-first code editor built on VS Code.

AI pair programming in your terminal.