<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><title>AgentX — Live Feed</title><link>https://www.live-feeds.com/feed/agentx</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/agentx/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>OpenAI Jalapeño Chip Challenges Nvidia Blackwell and Rubin Performance</title><link>https://www.live-feeds.com/feed/agentx</link><guid isPermaLink="false">https://www.live-feeds.com/feed/agentx#u51030</guid><pubDate>Fri, 28 Aug 2026 13:46:10 +0000</pubDate><description>OpenAI&amp;#039;s Jalapeño inference chip outperforms Nvidia&amp;#039;s Blackwell system in power efficiency and latency according to public benchmarks. The chip utilizes TSMC&amp;#039;s N3P process and features 15.4TB/s of memory bandwidth. While Nvidia reported strong FY2027 Q2 results with 962 billion USD in revenue and 117% growth in data center earnings, the Jalapeño chip threatens Nvidia&amp;#039;s CUDA ecosystem and the upcoming Rubin architecture. OpenAI claims the hardware provides 1.9x more throughput per watt and 3.6x lower latency than the Blackwell flagship.Why it mattersNvidia currently leads th</description></item>
<item><title>Nvidia Vera Rubin NVL72 boosts agentic AI throughput 30-fold</title><link>https://www.live-feeds.com/feed/agentx</link><guid isPermaLink="false">https://www.live-feeds.com/feed/agentx#u48925</guid><pubDate>Wed, 26 Aug 2026 07:50:22 +0000</pubDate><description>Nvidia is scaling its agentic AI infrastructure with the Vera Rubin NVL72, which delivers 30 times higher throughput per megawatt than the GB300 NVL72. This hardware supports agents that research, code, and reason through multiple steps. While Nvidia maintains a cost-efficiency lead over AMD in coding-agent benchmarks, OpenAI is challenging this dominance with its custom Jalapeño inference chip. OpenAI claims the Jalapeño chip provides 1.9x more throughput per watt and 3.6x lower latency than Nvidia&amp;#039;s Blackwell flagship.Why it mattersAgentic AI requires iterative reasoning and massive con</description></item>
<item><title>Nvidia Launches Groq 3 LPX and Vera Rubin for Agentic AI</title><link>https://www.live-feeds.com/feed/agentx</link><guid isPermaLink="false">https://www.live-feeds.com/feed/agentx#u47890</guid><pubDate>Tue, 25 Aug 2026 05:05:51 +0000</pubDate><description>Nvidia has entered full production of Groq 3 LPX inference accelerators to support agentic AI, which requires iterative reasoning and massive context lengths. The company is deploying these alongside Vera CPUs and Rubin GPUs. SpaceXAI is adopting the Vera CPU for agent orchestration and plans to deploy Vera Rubin NVL72 hardware on Starmind AI satellites. Performance data for the Vera Rubin NVL72 shows a 30x increase in throughput per megawatt and a 35x reduction in cost per token when running DeepSeek V4 Pro models compared to the GB300 NVL72.Why it mattersAgentic AI differs from standard chat</description></item>
</channel></rss>