AI Infrastructure Tools

Claude models accessed via API. Anthropic API sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Open-source embedded vector database. Chroma sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Fast inference and fine-tuning for open models. Fireworks AI sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Gemini models via API with generous free tier. Google AI API sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Inference API with 500-800 tokens/second on supported models. Groq sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Hub for 1M+ open ML models with hosted inference. Hugging Face sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Open-source vector database for billion-scale workloads. Milvus sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Serverless GPU compute for ML workloads. Modal sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

OpenAI's GPT models accessed via API. OpenAI API sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Free PostgreSQL extension for vector search. pgvector sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Fully-managed vector database. Pinecone sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Open-source vector search engine. Qdrant sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Run open models via API with pay-per-call pricing. Replicate sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

GPU cloud with H100 from $2.69/hour. RunPod sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Open-model inference up to 11x cheaper than GPT-4 class. Together AI sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.

Open-source vector database with hybrid search. Weaviate sits in the AI infrastructure layer that other products rely on for serving, vector search, embeddings, or training.