<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>CUDA on Thamme Gowda</title><link>https://gowda.ai/tags/cuda/</link><description>Recent content in CUDA on Thamme Gowda</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 13 Aug 2026 10:00:00 +0000</lastBuildDate><atom:link href="https://gowda.ai/tags/cuda/index.xml" rel="self" type="application/rss+xml"/><item><title>Is 4-Bit Quantization Truly Lossless?</title><link>https://gowda.ai/posts/2026/08/llm-fast-inference/</link><pubDate>Thu, 13 Aug 2026 10:00:00 +0000</pubDate><guid>https://gowda.ai/posts/2026/08/llm-fast-inference/</guid><description>A practical look at high-quality W4A8 inference: why naive symmetric int4 wastes a code, how Tahoma combines asymmetric weights and MSE clipping with dynamic FP8 activations, and how the resulting runtime compares with vLLM on one H100.</description></item></channel></rss>