<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Object on StorageNews</title><link>https://storagenews.top/tags/object/</link><description>Recent content in Object on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/object/index.xml" rel="self" type="application/rss+xml"/><item><title>Selfhosted S3 cuts per-request pricing traps</title><link>https://storagenews.top/posts/selfhosted-s3-cuts-per-request-pricing-traps/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/selfhosted-s3-cuts-per-request-pricing-traps/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Handling 30 uploads per second with 14 million objects proves self-hosted &lt;strong>S3-compatible object storage&lt;/strong> often outperforms unstable managed services. The move to &lt;strong>Versity S3 Gateway&lt;/strong> demonstrates that replacing flaky public cloud buckets with a local &lt;strong>Btrfs filesystem&lt;/strong> eliminates unpredictable latency and per-request pricing traps.&lt;/p></description></item><item><title>S3 Files for Lambda: Direct Bucket Mounts Work</title><link>https://storagenews.top/posts/s3-files-for-lambda-direct-bucket-mounts-work/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-for-lambda-direct-bucket-mounts-work/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">AWS eliminates the object-file tradeoff by making S3 buckets accessible as native file systems with fine-grained sync control.&lt;/p>
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&lt;p class="std-text">This launch fundamentally changes &lt;strong>cloud-native infrastructure&lt;/strong> by merging the limitless scalability of object storage with the interactive capabilities previously reserved for traditional mounts. As &lt;strong>Sébastien Stormacq&lt;/strong> notes, this evolution allows &lt;strong>Amazon S3 Files&lt;/strong> to serve as a central data hub where changes reflect instantly across clusters without duplication. The architecture supports direct access from &lt;strong>Amazon EC2&lt;/strong>, &lt;strong>ECS&lt;/strong>, and &lt;strong>Lambda&lt;/strong>, effectively rendering the old &amp;quot;library book&amp;quot; analogy obsolete.&lt;/p></description></item><item><title>S3 Files latency: 8s updates, 30s visibility</title><link>https://storagenews.top/posts/s3-files-latency-8s-updates-30s-visibility/</link><pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-latency-8s-updates-30s-visibility/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">S3 Files converges write conflicts in under two seconds, finally enforcing order on chaotic bucket access. This launch marks the end of fragile FUSE workarounds by delivering native &lt;strong>POSIX compatibility&lt;/strong> directly atop object storage. While the broader market expands, AWS has specifically engineered this service to resolve the decade-old tension between file semantics and object durability without sacrificing consistency.&lt;/p></description></item><item><title>S3 Files explained: Real NFS on your buckets</title><link>https://storagenews.top/posts/s3-files-explained-real-nfs-on-your-buckets/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-explained-real-nfs-on-your-buckets/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With &lt;strong>1ms latencies&lt;/strong> for active data, Amazon S3 Files finally merges object storage with file system semantics without moving data. This launch fundamentally alters cloud architecture by eliminating the historical need to duplicate data between &lt;strong>Amazon S3&lt;/strong> and &lt;strong>Amazon EFS&lt;/strong>, a friction point that has long plagued enterprise data teams. By using &lt;strong>EFS technology&lt;/strong> as its underlying engine, AWS transforms its legacy object store into a unified platform capable of supporting high-performance workloads directly.&lt;/p></description></item><item><title>S3 Files end data silos without migration pain</title><link>https://storagenews.top/posts/s3-files-end-data-silos-without-migration-pain/</link><pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-end-data-silos-without-migration-pain/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">AWS&amp;#039;s new S3 Files feature lets existing NFS applications access object data instantly without migration.&lt;/p>
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&lt;p class="std-text">This launch fundamentally shifts the storage environment by merging &lt;strong>file-system semantics&lt;/strong> directly with &lt;strong>S3 object storage&lt;/strong>, eliminating the need for costly data duplication or third-party gateways. By using &lt;strong>Elastic File System&lt;/strong> technology to deliver native &lt;strong>NFS v4.2&lt;/strong> support, Amazon allows enterprises to treat their data lakes as standard file shares while retaining cloud scalability. This move directly challenges established vendors like &lt;strong>NetApp&lt;/strong> and &lt;strong>Qumulo&lt;/strong>, who have long dominated the hybrid file-and-object niche within AWS environments.&lt;/p></description></item><item><title>S3 Files NFS: Mount Buckets on EKS Today</title><link>https://storagenews.top/posts/s3-files-nfs-mount-buckets-on-eks-today/</link><pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-nfs-mount-buckets-on-eks-today/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Amazon S3 Files launched April 7, 2026, ending the decade-old compromise between object storage costs and file system interactivity.&lt;/p>
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&lt;p class="std-text">This release fundamentally alters &lt;strong>cloud-native infrastructure&lt;/strong> by transforming &lt;strong>Amazon S3&lt;/strong> into the first object store offering native, high-performance file semantics without data migration. By mounting existing buckets directly via &lt;strong>NFS v4.1+&lt;/strong>, organizations eliminate the complex synchronization pipelines previously required to bridge &lt;strong>Amazon S3&lt;/strong> with compute clusters running on &lt;strong>Amazon EC2&lt;/strong> or &lt;strong>Amazon EKS&lt;/strong>. The architecture intelligently caches active metadata and content on high-performance storage while streaming large sequential reads directly from the underlying bucket, optimizing both latency and throughput dynamically.&lt;/p></description></item><item><title>S3 Files stop copy pipelines for 150GB genomes</title><link>https://storagenews.top/posts/s3-files-stop-copy-pipelines-for-150gb-genomes/</link><pubDate>Tue, 07 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-files-stop-copy-pipelines-for-150gb-genomes/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">A single whole-genome sequence generates 100–150 GB of raw data, creating an immediate bottleneck for researchers. &lt;strong>S3 Files&lt;/strong> eliminates this cloud data friction by replacing fragile copy pipelines with a unified, burst-parallel architecture designed for massive datasets.&lt;/p></description></item><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><item><title>Object storage limits scale more than GPUs</title><link>https://storagenews.top/posts/object-storage-limits-scale-more-than-gpus/</link><pubDate>Wed, 18 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/object-storage-limits-scale-more-than-gpus/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Object storage underpins 91% of private AI deployments, proving data fabric now limits scale more than GPUs. As AI initiatives shift from experimentation to operational reality, storage has evolved from a passive utility into the primary driver of project ROI and the critical bottleneck for &lt;strong>sovereign AI&lt;/strong>.&lt;/p></description></item><item><title>Ctera Fusion Direct stops AI storage bottlenecks</title><link>https://storagenews.top/posts/ctera-fusion-direct-stops-ai-storage-bottlenecks/</link><pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/ctera-fusion-direct-stops-ai-storage-bottlenecks/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">U. S. Patent 12,007,952 backs &lt;strong>CTera Fusion Direct&lt;/strong>, a system eliminating file-to-object conversion bottlenecks.&lt;/p>
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&lt;p class="std-text">The era of maintaining disjointed NAS silos alongside separate object repositories is over, primarily because the latency they introduce is fatal to modern AI training clusters. &lt;strong>CTera Fusion Direct&lt;/strong> establishes a &lt;strong>federated data architecture&lt;/strong> that allows files and objects to coexist natively within a single global namespace, removing the need for costly data duplication or proprietary chunking schemes. This approach finally delivers the promised convergence of human collaboration protocols and machine-scale throughput without the traditional performance.&lt;/p></description></item><item><title>Object storage truth: Why Reddit avoids directories</title><link>https://storagenews.top/posts/object-storage-truth-why-reddit-avoids-directories/</link><pubDate>Sat, 14 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/object-storage-truth-why-reddit-avoids-directories/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Twenty years after launch, Amazon S3 powers data lakes as massive as T-Mobile&amp;#039;s 1.87 PB system. This endurance proves that &lt;strong>object storage&lt;/strong> has evolved from a simple archival bin into the critical backbone of modern cloud infrastructure. While Werner Vogels admitted that making internet storage &amp;quot;simple&amp;quot; for users required immense engineering complexity, the result is a platform where 94% of organizations now rely on cloud services.&lt;/p></description></item><item><title>Object storage handles massive research datasets well</title><link>https://storagenews.top/posts/object-storage-handles-massive-research-datasets-well/</link><pubDate>Fri, 13 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/object-storage-handles-massive-research-datasets-well/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Moving 130 TB of Pi data required sustaining 2 Gbps throughput for two weeks to reach Backblaze B2. Modern research infrastructure increasingly demands a split architecture where local &lt;strong>high-performance compute&lt;/strong> generates massive datasets that must immediately migrate to scalable &lt;strong>cloud object storage&lt;/strong> for global access.&lt;/p></description></item><item><title>S3 Vectors cut vector DB costs by removing extra layers</title><link>https://storagenews.top/posts/s3-vectors-cut-vector-db-costs-by-removing-extra-layers/</link><pubDate>Wed, 11 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-vectors-cut-vector-db-costs-by-removing-extra-layers/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Amazon S3&amp;#039;s 20th anniversary on Pi Day 2026 arrives as &lt;strong>S3 Vectors&lt;/strong> fundamentally changes object storage for AI workloads. The central thesis is that AWS Storage has evolved from simple durability into the active data foundation required for generative AI and agentic systems. Readers will learn how &lt;strong>S3 Tables&lt;/strong> now support Intelligent-Tiering and Replication to slash analytics costs, alongside concrete strategies for executing complex NAS migrations without downtime.&lt;/p></description></item><item><title>Scality AI storage: Cut costs 20% without speed loss</title><link>https://storagenews.top/posts/scality-ai-storage-cut-costs-20-without-speed-loss/</link><pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/scality-ai-storage-cut-costs-20-without-speed-loss/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Scality testing reveals a &lt;strong>10x performance&lt;/strong> jump over standard S3 interfaces, proving that &lt;strong>AI storage tiering&lt;/strong> no longer requires compromising speed for scale. This partnership between Scality and WEKA establishes that validated interoperability between high-performance file systems and cost-efficient object stores is the only viable path to sustainable AI infrastructure in 2026.&lt;/p></description></item><item><title>Scality object tiering stops GPU starvation now</title><link>https://storagenews.top/posts/scality-object-tiering-stops-gpu-starvation-now/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/scality-object-tiering-stops-gpu-starvation-now/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Scality RING delivers 10x faster performance than conventional S3 interfaces while cutting infrastructure costs by 20% in new WEKA validations. The partnership between &lt;strong>Scality&lt;/strong> and &lt;strong>WEKA&lt;/strong> proves that hybrid storage architectures can finally eliminate the performance penalty typically associated with object tiering. By integrating &lt;strong>Scality RING&lt;/strong> directly with &lt;strong>NeuralMesh&lt;/strong>, enterprises achieve flash-speed access for active AI workloads without the prohibitive expense of an all-flash deployment.&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><item><title>Storage architecture fixes AI bottlenecks now</title><link>https://storagenews.top/posts/storage-architecture-fixes-ai-bottlenecks-now/</link><pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/storage-architecture-fixes-ai-bottlenecks-now/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">With &lt;strong>80 percent&lt;/strong> of early AI budgets burned on compute, storage was an afterthought until data readiness emerged as the true production bottleneck. The era of treating enterprise data infrastructure as a passive utility is over; today, &lt;strong>strategic storage constraints&lt;/strong> dictate the velocity and viability of generative AI deployments more than raw GPU power ever could.&lt;/p></description></item><item><title>myQNAPcloud One Review: 1TB Pool, Zero Egress</title><link>https://storagenews.top/posts/myqnapcloud-one-review-1tb-pool-zero-egress/</link><pubDate>Sat, 07 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/myqnapcloud-one-review-1tb-pool-zero-egress/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">QNAP&amp;#039;s new &lt;strong>myQNAPcloud One&lt;/strong> service unifies storage across &lt;strong>13 global data centers&lt;/strong> to eliminate fragmented cloud subscriptions. This launch marks a decisive shift away from siloed billing, merging &lt;strong>NAS backup workflows&lt;/strong> and &lt;strong>S3-compatible object storage&lt;/strong> into a single, flexible capacity pool starting at 1TB. By absorbing variable data transfer and API request fees, the platform forces predictable cost structures onto an industry addicted to hidden egress charges.&lt;/p></description></item><item><title>Why local uploads beat distance for R2 writes</title><link>https://storagenews.top/posts/why-local-uploads-beat-distance-for-r2-writes/</link><pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/why-local-uploads-beat-distance-for-r2-writes/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">Uploads from distant regions see a 75% reduction in Time to Last Byte, according to &lt;a href="https://www.cloudflare.com/" target="_blank" rel="noopener noreferrer">Cloudflare&lt;/a>&amp;#039;s latest performance benchmarks. &lt;a href="https://blog.cloudflare.com/r2-local-uploads/" target="_blank" rel="noopener noreferrer">Cloudflare&amp;#039;s r2 local uploads&lt;/a> Local Uploads for R2 fundamentally alters object data architecture by decoupling the write acknowledgement from the physical distance to the primary bucket. Instead of forcing every client request to traverse the globe synchronously, the system accepts &lt;strong>object data&lt;/strong> at the network edge and replicates it asynchronously to the designated storage location.&lt;/p></description></item></channel></rss>