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The API that started the LLM revolution. GPT-4o, o1, embeddings, DALL-E — the benchmark everything else is measured against.
- Strong on: Best-in-class models
- Addresses vLLM's tradeoff: Complex infrastructure setup
- Also: Massive ecosystem
Picked from the top10.dev AI/ML Tools rankings. Each option includes why a developer would choose it over vLLM.
The API that started the LLM revolution. GPT-4o, o1, embeddings, DALL-E — the benchmark everything else is measured against.
The GitHub of AI. 900k+ models, datasets, and Spaces. The hub of the open-source ML ecosystem.
The safety-first frontier model. Claude 3.5 Sonnet and Claude 3 Opus lead on reasoning, coding, and long context.
The framework for LLM applications. Chains, agents, RAG — the glue between your code and language models.
Run LLMs locally. Pull and run Llama, Mistral, Gemma, and 100+ models with a single command.
Run ML models in the cloud via API. Image generation, video, audio — deploy any model with one line.
Fastest inference cloud for open-source models. Run Llama, Mistral, Flux and 200+ models at scale.
The MLOps platform. Experiment tracking, model versioning, dataset management. How serious ML teams work.
Open source platform for the ML lifecycle. Track experiments, package models, deploy anywhere.