<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NVIDIA on The Coders Blog</title><link>https://thecodersblog.com/tag/nvidia/</link><description>Recent content in NVIDIA on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 07 May 2026 11:51:43 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/nvidia/index.xml" rel="self" type="application/rss+xml"/><item><title>Unsloth and NVIDIA: Revolutionizing LLM Training Speed</title><link>https://thecodersblog.com/faster-llm-training-with-unsloth-and-nvidia-2026/</link><pubDate>Thu, 07 May 2026 11:51:43 +0000</pubDate><guid>https://thecodersblog.com/faster-llm-training-with-unsloth-and-nvidia-2026/</guid><description>&lt;p&gt;Forget waiting weeks for LLM fine-tuning. The latest collaboration between Unsloth and NVIDIA isn&amp;rsquo;t just an incremental improvement; it&amp;rsquo;s a seismic shift, pushing the boundaries of what&amp;rsquo;s computationally feasible for democratizing AI development. We&amp;rsquo;re talking a &lt;em&gt;further&lt;/em&gt; ~25% speed boost on top of Unsloth&amp;rsquo;s already astonishing 2-5x gains and 80% VRAM reduction, all without a whisper of accuracy degradation. This isn&amp;rsquo;t magic; it&amp;rsquo;s deeply engineered synergy, auto-tuned to hum on everything from your RTX laptop to datacenter behemoths and DGX Spark.&lt;/p&gt;</description></item></channel></rss>