not much happened today

**vLLM v0.20.0** introduces significant improvements in memory and MoE serving efficiency, including **TurboQuant 2-bit KV cache** for **4× KV capacity** and a **2.1% latency improvement**. The update supports multiple hardware platforms like **DeepSeek V4 MegaMoE on Blackwell**, Jetson Thor, ROCm, Intel XPU, and Grace-Blackwell setups. Early benchmarks show **DeepSeek V4 Pro** on **B300** hardware can be up to **8× faster** than H200. The ecosystem is rapidly adopting day-0 support for new open models such as **Poolside Laguna XS.2**, **Ling-2.6-flash**, and **NVIDIA Nemotron 3 Nano Omni**. **Poolside** released **Laguna XS.2**, a **33B total / 3B active MoE** coding model under **Apache 2.0**, capable of running on a single GPU, with hybrid attention and FP8 KV cache, performing near **Qwen-3.5**. **NVIDIA** launched **Nemotron 3 Nano Omni**, a **30B / A3B multimodal MoE** with **256K context**, supporting text, image, video, audio, and documents, with immediate distribution across multiple platforms. Discussions highlighted tradeoffs in quantization methods and a shift away from CUDA lock-in towards heterogeneous accelerator support.