All Tools
C
LLMFreemium
CLOUDFLARE WORKERS AI
Serverless GPU-powered AI inference at the edge
ABOUT
Running AI inference in production typically requires provisioning GPU servers, managing autoscaling, handling cold starts, and paying for idle compute — operational overhead that slows down development. Cloudflare Workers AI removes this burden entirely by providing serverless GPU access to 50+ open-source models (LLMs, image classification, embeddings) across Cloudflare's global edge network. No infrastructure to manage — models auto-scale, you pay only for inference, and it integrates seamlessly with Cloudflare's developer platform (KV, R2, D1, Vectorize).
INSTALL
npm install wrangler --save-devINTEGRATION GUIDE
1. Deploy LLM-powered features like text generation and summarization on serverless edge functions
2. Run image classification, object detection, and audio transcription at the edge with low latency
3. Build full-stack AI apps combining Workers AI with Vectorize vector database and AI Gateway
4. Generate embeddings at the edge for semantic search and RAG pipelines without managing servers
5. Prototype and productionize AI features without provisioning any GPU infrastructure
TAGS
serverlessedge-computinginferencecloudflaregpuworkersopen-source-modelsembeddings