![]() "Our announcements mark the beginning of Cloudflare's journey into AI, much like Workers did for serverless computing," said Matthew Prince, CEO. They have committed that customer data utilized for inference will not be used to train large language models. Privacy: With AI becoming integral to customer experiences, Cloudflare reassures its users of a privacy-first approach.Cloudflare says it is determined to provide an affordable AI platform, ensuring developers are charged only for what they use. ![]() Its Data Localization Suite ensures that AI deployments remain local, catering to in-country data storage mandates. Compliance: Recognizing the increasing governmental regulations around AI and data residency, Cloudflare offers a network that stretches over 300 cities.This assists with optimizing latency, managing costs, and maintaining reliability.Ĭloudflare's vision for AI emphasizes three pillars: This provides fast, affordable storage for powering AI use cases beyond basic inference.Īdditionally, Cloudflare announced AI Gateway, giving organizations visibility into their AI workloads and tools to cache responses, rate limit requests, and monitor deployments across clouds. Next, to support building customized AI applications, Cloudflare also launched Vectorize, a vector database for indexing and storing AI model embeddings. Models can be deployed at the edge, close to end users, for low-latency performance. This allows developers to leverage pre-trained AI models with a pay-as-you-go pricing model, reducing infrastructure costs and management. Cloudflare today announced several new products and partnerships aimed at making AI more accessible and optimized for developers.įirst, the company unveiled Workers AI, a serverless AI platform powered by NVIDIA GPUs on Cloudflare's global network.
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