<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Block on StorageNews</title><link>https://storagenews.top/tags/block/</link><description>Recent content in Block on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 06 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/block/index.xml" rel="self" type="application/rss+xml"/><item><title>Cloud data bottlenecks stall AI scaling fast</title><link>https://storagenews.top/posts/cloud-data-bottlenecks-stall-ai-scaling-fast/</link><pubDate>Mon, 06 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/cloud-data-bottlenecks-stall-ai-scaling-fast/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With AI training driving a 44% year-over-year surge in cloud infrastructure spending to $2.52 trillion in 2026, your current storage architecture is likely the bottleneck. The thesis is clear: generic data housing fails under &lt;strong>AI workloads&lt;/strong>, demanding specific configurations for performance and cost control. While the market expands rapidly, 80% of companies exceed their &lt;strong>AI cost forecasts&lt;/strong> by more than 25%, proving that scaling is a financial liability rather than a strategy.&lt;/p></description></item></channel></rss>