<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GPU on Ujaan Mukherjee</title><link>https://ujaanmukherjee.com/tags/gpu/</link><description>Recent content in GPU on Ujaan Mukherjee</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Jul 2026 10:00:00 +0530</lastBuildDate><atom:link href="https://ujaanmukherjee.com/tags/gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Sorry, we're out of tomorrow's RAM.</title><link>https://ujaanmukherjee.com/journal/not-enough-ram/</link><pubDate>Wed, 15 Jul 2026 10:00:00 +0530</pubDate><guid>https://ujaanmukherjee.com/journal/not-enough-ram/</guid><description>&lt;p&gt;There are two kinds of people who preorder things before they exist: gamers and trillion-dollar AI companies. The former get a collector&amp;rsquo;s edition with a plastic figurine. The latter get priority access to HBM wafers that haven&amp;rsquo;t even finished pretending to be silicon.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;ve been wondering why GPUs cost roughly the GDP of a small island nation, the answer isn&amp;rsquo;t just NVIDIA&amp;rsquo;s leather jackets. It&amp;rsquo;s memory.&lt;/p&gt;
&lt;p&gt;Modern AI training is no longer compute-bound in the traditional sense. You can keep adding more TFLOPS, tensor cores, and exotic matrix instructions, but eventually every accelerator reaches the same existential crisis: waiting for data. A GPU without memory bandwidth is just an expensive space heater.&lt;/p&gt;</description></item></channel></rss>