This article has been edited and created by AI. llama.cpp Q4_K batch prefill/decode 5.8x speedup, SGLang NVFP4 MoE & vLLM CUDA Graph optimization — 2026-06-28 Today's major news for CUDA 16GB includes ...
LLM trends for CUDA 16GB as of today, June 25th. Most notable are the release of three Gemma-4 series E4B/E2B/GGUF quantized models by Unsloth, and the implementation of dense Q4_K batched ...
FPS gaming on an E Ink display? That doesn't seem right... But that's exactly what Wenting Zhang's PaperBoy Game Boy emulator ...
The Git project has officially released Git 2.55, bringing a wide range of improvements focused on performance, developer ...
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Devplan raises $2.5M to take on the product coordination work that AI coding is leaving behind
Devplan, a Seattle startup building software to coordinate product and engineering work, is emerging from stealth with $2.5 million in seed funding led by AI2 Incubator.
Fork of llama.cpp with fused TurboQuant flash attention — the FA kernel reads raw TBQ4_0 K/V blocks directly from global memory and dequants via centroid lookup in the FWHT-rotated domain. No separate ...
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