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Find the systems making AI fast and useful in production. This MTS Atlas list tracks inference platforms, optimization layers, and infrastructure that turn models into responsive products.
Open compute for AI workloads that refuse to stand still.
AI for Empowerment: Your freedom. Your focus.
Open models, datasets, and AI apps built together by a community sharing 2M+ models.
Train and serve AI models on one stack, with engineers who help you reach production.
Unify your data, analytics, and AI on a governed lakehouse to build apps and agents.
AI infrastructure for training, inference, and agents, scaling to thousands of GPUs.
Serverless inference, background tasks, and agent sandboxes on managed compute or your own cloud.
AI inference on owned infrastructure, with model APIs, private deployments, and GPU compute.
One API for hundreds of AI models, with routing, fallbacks, and choice of providers.
Open-source model serving and inference infrastructure for deploying AI across clouds with control over performance and cost.
Generative media infrastructure that lets developers build, train, and deploy models.
Run and deploy machine learning without the infrastructure.
Enterprise AI software with a 2026 inference-IP and core-team transition to Nebius.
Own your AI: train and serve open models that become your specialized intelligence.
The AI-native cloud for inference, model training, and compute.
