<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Billion on StorageNews</title><link>https://storagenews.top/tags/billion/</link><description>Recent content in Billion on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 11 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/billion/index.xml" rel="self" type="application/rss+xml"/><item><title>Data storage sharding: Handle 750B points fast</title><link>https://storagenews.top/posts/data-storage-sharding-handle-750b-points-fast/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/data-storage-sharding-handle-750b-points-fast/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With AI training datasets exploding from 42 billion to over 750 billion points in just two years, naive storage architectures are now obsolete. Efficient management of &lt;strong>large datasets&lt;/strong> demands a shift from simple capacity expansion to rigorous architectural discipline involving &lt;strong>data partitioning&lt;/strong>, &lt;strong>compression&lt;/strong>, and strategic &lt;strong>lifecycle policies&lt;/strong>.&lt;/p></description></item><item><title>Neocloud storage: Stop GPU stalls with 1 Tbps</title><link>https://storagenews.top/posts/neocloud-storage-stop-gpu-stalls-with-1-tbps/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/neocloud-storage-stop-gpu-stalls-with-1-tbps/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">B2 Neo targets a neocloud sector projected by the article to reach $236.53 billion by 2031, solving the storage bottleneck crippling GPU expansion. &lt;strong>White-label object storage&lt;/strong> is no longer optional infrastructure but the primary mechanism for neoclouds to retain engineering focus while capturing full-stack revenue. This shift allows specialized compute providers to bypass the capital expenditure of building backend systems from scratch.&lt;/p></description></item></channel></rss>