AI Search is now generally available. It embeds image pixels directly for visual search, runs optical character recognition on scanned PDFs, accepts files up to 10 MiB, and works with any chat model. Here's what's new and how pricing works.
Cloudflare Basin is built on Apache Iceberg and R2 Object Storage. With general availability, developers can ingest, manage, and query large datasets at scale without paying data egress fees.
We moved cdnjs, serving 9 billion requests a day, entirely onto Cloudflare's Developer Platform. That means we’re running one of the Internet's busiest open-source CDNs on our own building blocks, and we pushed Workflows and Workers limits higher for everyone.
Log Explorer customers can now identify and investigate multi-vector attacks. Log Explorer supports 14 additional Cloudflare datasets, enabling users to have a 360-degree view of their network.
Local Uploads on R2 reduces request duration for uploads by up to 75%. It writes object data to a nearby location and asynchronously copies it to your bucket, all while data is available immediately.
As a proof of concept, we built a Matrix homeserver to Cloudflare Workers — delivering encrypted messaging at the edge with automatic post-quantum cryptography.
Cloudflare’s R2 SQL, a distributed query engine, now supports aggregations. Explore how we built distributed GROUP BY execution, using scatter-gather and shuffling strategies to run analytics directly over your R2 Data Catalog.
Remote bindings allow you to connect your local Worker code to deployed Cloudflare resources like R2 and D1. Come along on the technical journey of how we built this feature to create a seamless local development experience.
R2 SQL provides a built-in, serverless way to run ad-hoc analytic queries against your R2 Data Catalog. This post dives deep under the Iceberg into how we built this distributed engine.
We re-architected Super Slurper from the ground up using our Developer Platform — leveraging Cloudflare Workers, Durable Objects, and Queues — and improved transfer speeds by up to 5x.
We’ve just shipped our new streaming ingestion service, Pipelines — and we’ve acquired Arroyo, enabling us to bring new SQL-based, stateful transformations to Pipelines and R2.
Together, Cloudflare and MosaicML give customers the freedom to train LLMs on any compute, anywhere in the world, with zero switching costs. That means faster, cheaper training runs, and no vendor lock in.