<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gpu-Scheduling on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/gpu-scheduling/</link><description>Recent content in Gpu-Scheduling on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 07 Aug 2026 00:23:45 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/gpu-scheduling/index.xml" rel="self" type="application/rss+xml"/><item><title>Amazon ECS adds fractional GPU scheduling on EC2 G6f instances</title><link>https://curadevops.metacog.co.kr/insights/2026-08-07-amazon-ecs-now-supports-fractional-gpu-scheduling-with-amazo/</link><pubDate>Fri, 07 Aug 2026 00:23:45 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-08-07-amazon-ecs-now-supports-fractional-gpu-scheduling-with-amazo/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Plan:&lt;/strong> New GA ECS capability lets you right-size GPU containers (1/8, 1/4, or 1/2 of an L4 GPU) on G6f instances, with CloudWatch GPU metrics and automatic health monitoring included. Evaluate this quarter if you run ECS-based AI inference or rendering workloads where full-GPU allocation is wasteful.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Fractional GPU scheduling in ECS reduces the cost floor for small-model inference and GPU experimentation workloads; worth factoring into GPU cost optimization reviews if the org runs AI workloads on ECS.&lt;/li>
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