CuTeDSL

This release introduces significant performance optimizations for Kimi-K3 and DeepSeek V4, alongside advancements in speculative decoding and Model Runner V2 maturation. It also features a new Rust frontend and gRPC capabilities, tiered KV cache offloading, and expanded model support.

vLLM v0.25.0 introduces Model Runner V2 as the default for dense models, significantly improving performance and adding support for new features like EVS and realtime embeddings. The release also deprecates PagedAttention and enhances the Transformers backend to match native vLLM speed, alongside numerous model additions and performance optimizations across various hardware platforms.