The Workers AI aims to ensure AI inference happens on GPUs close to users for a low-latency, AI-powered end-user experience. It allows AI models to run wherever processing makes the most sense in terms of bandwidth, latency, connectivity, processing, and localization constraints. Vectorize targets customers needing to store vector embeddings for AI models in a database. AI Gateway provides observability features to assist with tracking AI traffic and offers capabilities to reduce costs, including caching and rate limiting. Cloudflare has partnered with AI startup Hugging Face and Databricks to optimize and deploy AI models.
Key takeaways:
- Cloudflare is launching a suite of AI-focused products and apps designed to help customers build, deploy, and run AI models at the network edge.
- The new offerings include Workers AI, which allows customers to access nearby GPUs to run AI models, Vectorize, a vector database for storing vector embeddings, and AI Gateway, a tool for providing metrics to manage the costs of running AI apps.
- Cloudflare has partnered with AI startup Hugging Face and Databricks to optimize generative AI models and bring AI inference to Workers AI.
- Cloudflare's CEO, Matthew Prince, believes their new offerings can simplify AI management and provide cost savings, as well as offer a more streamlined approach than their competitors.