Cloudflare AI Inference Tutorial

Cloudflare recently released their AI inference offering, which includes three main products: an inference product that is serverless and runs at the edge, a vector database, and an AI Gateway. The inference product allows users to run AI models using a REST API, with a partnership with Hugging Face enabling the use of several models, including Whisper from OpenAI and Llama 7B. The video demonstrates how to create an API token, run inference using curl and Python examples, and highlights the speed and ease of use of the Cloudflare inference product. The vector database product is briefly mentioned, with the speaker expressing uncertainty about its value proposition due to the presence of many other vector databases. The AI Gateway is the product the speaker is most excited about, as it allows users to cache responses, add rate limits, and log errors, responses, and tokens for inference endpoints from providers like Hugging Face, OpenAI, Replicate, and Cloudflare. The video walks through setting up the AI Gateway, enabling logging and caching, and using the gateway with various endpoints. Pricing for the inference product is discussed, with two tiers: regular and fast twitch pricing. The speaker expresses enthusiasm for the AI Gateway and its potential usefulness, despite some bugs and the product being in beta.