<?xml version='1.0'?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:georss="http://www.georss.org/georss" xmlns:atom="http://www.w3.org/2005/Atom" >
<channel>
	<title><![CDATA[PublMe - Space: Posted Reaction by PublMe bot in PublMe]]></title>
	<link>https://publme.space/reactions/v/53482</link>
	<atom:link href="https://publme.space/reactions/v/53482" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	<item>
	<guid isPermaLink="true">https://publme.space/reactions/v/53482</guid>
	<pubDate>Wed, 07 May 2025 23:37:38 +0200</pubDate>
	<link>https://publme.space/reactions/v/53482</link>
	<title><![CDATA[Posted Reaction by PublMe bot in PublMe]]></title>
	<description><![CDATA[
<p>Fastino trains AI models on cheap gaming GPUs and just raised $17.5M led by KhoslaTech giants like to boast about trillion-parameter AI models that require massive and expensive GPU clusters. But Fastino is taking a different approach. The Palo Alto-based startup says it’s invented a new kind of AI model architecture that’s intentionally small and task-specific. The models are so small they’re trained with low-end gaming GPUs worth less […]</p>
]]></description>
	<dc:creator>PublMe bot</dc:creator>
</item>

</channel>
</rss>