Models & Labs
vLLM v0.28.0 Release: Major Performance Enhancements
vLLM Releaseshigh confidence
Why it matters
- →The release significantly boosts performance for Kimi-K3, enhancing model efficiency.
- →DeepSeek V4 improvements expand vLLM's capabilities in speculative decoding.
- →The update supports a wider range of hardware, increasing flexibility for developers.
vLLM has released version 0.28.0, featuring substantial performance improvements and new capabilities. Key updates include major optimizations for the Kimi-K3 model, such as Decode Context Parallel support and fused FlashKDA decode kernels. The release also enhances DeepSeek V4 with sparse MLA support and speculative decoding, benefiting both NVIDIA and AMD hardware users. These advancements aim to improve model execution efficiency and expand vLLM's applicability across different hardware platforms.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1DeepSeek-V4 Tackles Million-Token Context Challenge
Together AI Blog · May 8, 2026 · Related
- 2vLLM v0.22.0 Release Enhances Model Performance
vLLM Releases · May 31, 2026 · Same story
- 3vLLM v0.24.0 Release Enhances Model Support
vLLM Releases · June 30, 2026 · Same story
- 4vLLM Boosts Transformers Backend for Native-Speed Inference
Hugging Face Blog · July 8, 2026 · Related
- 5llama.cpp b9952 Release Enhances DeepSeek V4
llama.cpp Releases · July 11, 2026 · Related
- 6DeepSeek V4 Flash Released
Lev Selector · July 31, 2026 · Related
- 7DeepSeek-V4-Pro Released for Enhanced Search
Matt Wolfe · August 14, 2026 · Related
What happened next
- 8DeepSeek Releases DeepSeek-V4.1-Flash Model
Matt Wolfe · September 11, 2026 · Related
- 9Liquid AI releases DSpark drafter for vision models
Hugging Face Blog · September 24, 2026 · Related
- 10llama.cpp deepseekv4.1 follow-up fixes
llama.cpp Releases · October 26, 2026 · Related
More in Models & Labs
Models & Labsmodels
llama.cpp b12029 adds CUDA 13 and Snapdragon support
This release quietly cements llama.cpp as the universal inference runtime by finally supporting NVIDIA's latest CUDA 13 stack alongside AMD's ROCm 10.0. The inclusion of native builds for Linux arm64 with Snapdragon chips, covering CPU, Adreno GPU, and Hexagon NPU, signals a serious push into mobile edge deployment. While Apple Silicon KleidiAI is disabled in this specific build, the broader hardware coverage means developers no longer need to compile from source for most modern accelerators. It’s less about new features and more about removing friction for anyone running local models on bleeding-edge or diverse hardware.
llama.cpp Releases
© The Verge AIModels & Labsother
Apple Intelligence arrives in China via iOS 27.3
Apple is finally unlocking its AI suite for Chinese users with the iOS 27.3 beta, marking a significant regulatory milestone after months of approval delays. The rollout relies on Alibaba’s Qwen model rather than OpenAI, integrating features like notification summaries and visual intelligence directly into the OS. By sidestepping the new Siri in favor of established text and image tools, Apple is prioritizing immediate utility over the full generative experience. This move effectively brings Apple’s AI capabilities to a massive new market, albeit with localized constraints that distinguish it from the global release.
The Verge AI
© Matt WolfeModels & Labsmodels
Google Releases Gemini 4 Carbon for Cost-Efficient Inference
Google launched Gemini 4 Carbon, a new model variant aimed at providing high performance at a lower cost for inference tasks.
Matt Wolfe