Cloudflare targets 2029 for full post-quantum security

Cloudflare has unified its AI Platform into an inference layer, offering a single API to access AI models from any provider. This allows developers to seamlessly switch between models from different providers, such as OpenAI, Anthropic, and others, without requiring significant changes to their code. The unified platform provides access to 70+ models across 12+ providers and enables cost management through a centralized dashboard.

Here is a 2-3 sentence summary of the article: To efficiently run extra-large language models like Kimi K2.5 on Workers AI, Cloudflare employs a hybrid approach, disaggregating prefill (input token processing) and decode (output token generation) into separate inference servers, and leveraging load balancing and token-aware routing to optimize performance and latency. Additionally, Cloudflare optimizes for prompt caching using the x-session-affinity header, and incentivizes its use with discounted cached tokens, while also leveraging Mooncake Transfer Engine and Mooncake Store for efficient KV-cache sharing across multiple GPUs. These optimizations have resulted in significant improvements in tail latency and intertoken latency, with a 3x improvement in performance.