<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Neocloud on StorageNews</title><link>https://storagenews.top/tags/neocloud/</link><description>Recent content in Neocloud 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/neocloud/index.xml" rel="self" type="application/rss+xml"/><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><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><item><title>Whitelabel storage cuts GPU farm build time by 18 months</title><link>https://storagenews.top/posts/whitelabel-storage-cuts-gpu-farm-build-time-by-18-months/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/whitelabel-storage-cuts-gpu-farm-build-time-by-18-months/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With the neocloud market hitting $35.22 billion in 2026, Backblaze now offers a white-label storage backend to stop GPU farms from stalling. &lt;strong>B2 Neo&lt;/strong> eliminates the need for emerging providers like CoreWeave and Lambda to waste years building their own object stores. Readers will discover how &lt;strong>white-label object storage&lt;/strong> allows neoclouds to bypass an 18-to-24-month engineering distraction, according to Backblaze CEO Gleb Budman. Instead of diverting resources from their core GPU roadmap, providers can integrate a fully &lt;strong>S3-compatible&lt;/strong> layer in weeks. We examine the operational risks of moving massive datasets without integrated storage, where latency directly corrodes expensive GPU utilization rates.&lt;/p></description></item></channel></rss>