<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Inference on Kuldeep Pisda</title><link>https://kdpisda.in/tag/inference/</link><description>Recent content in Inference on Kuldeep Pisda</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 15 Aug 2026 09:00:00 +0530</lastBuildDate><atom:link href="https://kdpisda.in/tag/inference/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenAI's Ultrafast Tier Runs GPT-5.6 Sol at 750 Tokens a Second, and It Changes What 'Real-Time AI' Means</title><link>https://kdpisda.in/openai-ultrafast-gpt-5-6-sol-cerebras/</link><pubDate>Sat, 15 Aug 2026 09:00:00 +0530</pubDate><guid>https://kdpisda.in/openai-ultrafast-gpt-5-6-sol-cerebras/</guid><description>&lt;p&gt;OpenAI previewed a new API tier this week called Ultrafast, and the headline number is the kind that changes what you&amp;rsquo;re willing to build. Running on Cerebras wafer-scale silicon instead of standard GPU infrastructure, GPT-5.6 Sol on Ultrafast generates up to 750 output tokens per second, roughly 14 times the ~53 tokens per second the standard tier delivers. That is the difference between a model that streams an answer while you wait and a model that finishes before you have registered it started.&lt;/p&gt;</description></item></channel></rss>