Model APIs, inference, vector databases and tools to run models. 223 tools.
223 tools
Serverless cloud for running Python and GPU workloads on demand
Open-source deep learning library that runs on JAX, PyTorch and TF
Managed serverless vector database for search and RAG
Wafer-scale chips serving open models at record inference speeds
Cloud for running, fine-tuning and training open-source models
Fast inference platform for image, video and audio generation models
Open-source LLM observability, prompt management and evals
Production inference platform for custom and open-source models
Alibaba Cloud's API platform for Qwen and other foundation models
Discovery, monitoring and governance for enterprise AI agents
Open-source system for training and serving large models at scale
Microsoft service for training custom image recognition models
LLM and agent monitoring inside the Datadog observability platform
IBM's enterprise studio for Granite and third-party models
Moonshot AI's developer API for Kimi long-context and coding models
Open-source Python framework for ML and AI workflows
Apple's array framework for running and training models on Apple Silicon
Chinese open-source model community with models and datasets
Vector search built into MongoDB Atlas with Voyage AI embeddings
Production inference and fine-tuning for open models on Nebius cloud
Comet's open-source platform for LLM tracing and evaluation
Search-grounded model APIs for adding cited web answers to apps
OpenTelemetry observability for Python apps and AI agents
Fast inference for large open models on SambaNova's RDU chips
Fast open-source serving framework for LLMs and vision models
Gradio web interface for running local LLMs with many backends
Training API from Thinking Machines for fine-tuning open models
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