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Everpure<\/a> (NYSE: PSTG), a company focused on storage and data management, has introduced new solutions to advance Enterprise AI<\/a> adoption. The company announced Evergreen\/\/One for FlashBlade\/\/EXA and revealed plans for the beta launch of Everpure Data Stream later in 2026.<\/p>\n\n\n\n These offerings aim to reduce cost and complexity, which often delay Enterprise AI projects. As a result, organizations can move faster from pilot stages to full-scale deployment.<\/p>\n\n\n\n Evergreen\/\/One (EG1) for AI now extends to FlashBlade\/\/EXA. It delivers high performance, scalability, and throughput required for large-scale AI training and inference. In addition, Everpure Data Stream will enable automated data pipelines, removing the need for manual data movement from ingestion to inference.<\/p>\n\n\n\n According to Kaycee Lai, Vice President of AI at Everpure, many enterprises struggle to productionize AI because they treat it as a standard workload. Therefore, the company is focusing on breaking down data silos and enabling scalable AI infrastructure.<\/p>\n\n\n\n Meanwhile, Everpure has aligned FlashBlade\/\/EXA with modular NVIDIA STX reference architecture. This supports next-generation AI factories powered by the Vera Rubin platform. The integration includes BlueField-enabled storage controllers and context memory architectures. Consequently, it optimizes the AI pipeline from data preparation to long-context inference.<\/p>\n\n\n\n Furthermore, the architecture addresses the demands of giga-scale inference. It provides low-latency data access required for agentic workflows and multi-step reasoning systems.<\/p>\n\n\n\n Recent benchmarks from SPECstorage Solution 2020 and MLPerf confirm the platform\u2019s performance. FlashBlade\/\/EXA achieved the highest score in the SPEC Storage AI_Image benchmark. It also supported 6,300 simultaneous AI jobs, demonstrating strong concurrency.<\/p>\n\n\n\n In comparison, FlashBlade\/\/EXA moves data twice as fast as competing solutions. At the same time, it occupies less than half a rack. It also sustains over 90% GPU utilization across large NVIDIA Hopper clusters, as validated by MLPerf workloads. As workloads increase, the system scales linearly, reducing idle compute time.<\/p>\n\n\n\n Additionally, NVIDIA-Certified Storage validation has been extended to FlashBlade\/\/EXA. This creates a clear path toward NVIDIA Cloud Partner certification, aligned with NVIDIA reference architectures.<\/p>\n\n\n\n To support these capabilities, Everpure Data Stream simplifies data orchestration and curation. It ensures that high-quality, AI-ready data flows seamlessly into infrastructure. As a result, organizations can shorten the time from pilot to production.<\/p>\n\n\n\n The solution is co-engineered with Supermicro and built on the NVIDIA AI Data Platform reference design. By combining hardware and software-defined storage, enterprises can unlock greater value from their data.<\/p>\n\n\n\n Moreover, Everpure supports accelerated platforms such as NVIDIA RTX PRO 6000 Blackwell Server Edition. Support will also expand to the NVIDIA RTX PRO 4500 Blackwell Server Edition GPU.<\/p>\n\n\n\n Overall, Everpure emphasizes that success in Enterprise AI depends on continuous data optimization rather than a one-time upgrade.<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Everpure (NYSE: PSTG), a company focused on storage and data […]<\/p>\n","protected":false},"author":58,"featured_media":104858,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9621,10388],"tags":[1051],"contributor":[9732],"class_list":["post-104852","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-emerging-technologies","category-storage","tag-vendors","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/03\/Everpure_English-copy-26.jpg.jpeg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/104852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=104852"}],"version-history":[{"count":1,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/104852\/revisions"}],"predecessor-version":[{"id":104853,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/104852\/revisions\/104853"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/104858"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=104852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=104852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=104852"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=104852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}