Serverless

Serverless compute service that runs code in response to events and automatically manages the compute resources, ideal for building AI-powered applications without managing servers.

Event-driven serverless compute platform that solves complex orchestration problems, with built-in AI integrations through Azure Cognitive Services and Azure Machine Learning.

Serverless GPU platform for deploying custom AI models. Supports any Python-based ML framework with cold starts under 5 seconds.

The AI-native open-source embedding database with cloud-hosted serverless options for production deployments.

Run AI inference at the edge across Cloudflare's global network. Serverless, pay-per-use access to curated open-source models with ultra-low latency.

Enterprise NLP API specializing in embeddings, reranking, and RAG. Command R models are optimized for enterprise search and agentic workflows.

Production-ready AI models via serverless API, including embeddings, text generation, and classification functions.

End-to-end serverless ML platform that enables building, training, and deploying ML models with automatic infrastructure management and MLOps capabilities.

Serverless platform for JavaScript and TypeScript with built-in AI capabilities, featuring secure runtime and global distribution for deploying AI applications with low latency.

Production-grade generative AI platform offering fast inference for open-source LLMs and multimodal models with serverless and dedicated deployments.

Ultra-fast LLM inference API powered by LPU hardware, offering some of the fastest token generation speeds available for models like Llama 3 and Mixtral.

Run thousands of open-source models via a simple API. No setup required — instantly access text, image, audio, and video models hosted by Hugging Face.

A serverless vector database for AI applications with automatic embedding generation and cost-effective storage solutions.

Pythonic serverless platform for running and scaling AI workloads. Define your model as a Python class and deploy to GPUs in minutes with built-in autoscaling.

Scalable, cloud-native vector database supporting trillion-scale data with managed serverless deployments.

Cloud platform for running AI/ML workloads. Write Python functions, deploy instantly, and scale to thousands of GPUs with no infrastructure management.

Unified API gateway for 100+ LLMs from OpenAI, Anthropic, Google, Meta, and more. Single integration, automatic fallbacks, and cost-based routing.

Managed vector database designed for machine learning applications, with real-time vector search and serverless operations.

Vector database for similarity search with a focus on extended filtering support and serverless operations.

Run open-source machine learning models with a cloud API. Deploy and scale models instantly without managing infrastructure.

Serverless functions for building AI applications with Postgres integration, perfect for building LLM-powered apps with vector search capabilities.

Serverless and dedicated AI inference platform with access to 100+ open-source models. Features fast inference and fine-tuning capabilities.

Serverless vector database optimized for AI applications with pay-per-request pricing model.

Library for building AI-powered user interfaces with React Server Components and streaming responses from AI providers like OpenAI, Anthropic, and more.

A cloud-native, serverless vector search service with semantic search capabilities and GraphQL API.