<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Training on StorageNews</title><link>https://storagenews.top/tags/training/</link><description>Recent content in Training on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 24 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/training/index.xml" rel="self" type="application/rss+xml"/><item><title>Storage bottlenecks: Why neocloud GPU workloads stall</title><link>https://storagenews.top/posts/storage-bottlenecks-why-neocloud-gpu-workloads-stall/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/storage-bottlenecks-why-neocloud-gpu-workloads-stall/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With SSD demand for AI training surging 35% annually, Backblaze B2 Neo eliminates the storage bottleneck crippling neocloud scalability. &lt;strong>B2 Neo&lt;/strong> serves as a white-label object storage backend that allows emerging cloud providers to bypass massive capital expenditure on proprietary infrastructure. By offloading storage complexity, these platforms can focus engineering resources on differentiating their core GPU compute offerings rather than reinventing basic data persistence.&lt;/p></description></item></channel></rss>