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AI puts value in data. So how do we get it out?
Sponsored Feature AI is driving an explosion in infrastructure spending. But while GPU-enabled compute may grab the headlines, data management and storage are also central to determining whether enterprises ultimately realize value from their AI investments and drive broader transformation
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Unified data platforms reshape AI storage - SiliconANGLE
Metadata matters: Inside HPE's strategy for streamlined storage and accelerated AI adoption Unified data platforms are reshaping the foundation of enterprise storage as AI adoption accelerates, forcing businesses to overhaul aging architectures and rethink how data is managed, scaled and
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Enterprise data storage meets AI demands - SiliconANGLE
HPE outlines how AI is transforming enterprise data storage management Enterprise data storage is entering a new era as artificial intelligence reshapes the demands placed on modern infrastructure. Faced with surging volumes of unstructured data, GPU-driven workloads and hybrid cloud environments,
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HPE and Nvidia tighten partnership with broad infrastructure enhancements
HPE and Nvidia tighten partnership with broad infrastructure enhancements Hewlett Packard Enterprise Co. and Nvidia Corp. today are extending the Nvidia AI computing by HPE initiative they announced last year with new servers, software and storage targeted specifically at artificial intelligence
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HPE's Nvidia GTC AI Enterprise Computing Blitz: Five Things To Know
Hewlett Packard Enterprise unleashed an all-out enterprise AI market blitz this week at Nvidia's GTC Conference with a slew of announcements including a unified data layer for "deeper collaboration" for Nvidia including expanded Alletra MP support for Nvidia networking. The new HPE unified data
[6]
Hewlett Packard Enterprise drives agentic AI era with an intelligent, unified data layer for AI
HPE will support new NVIDIA AI Data Platform, advancing business insights through AI and data HPE Alletra Storage MP X10000 speeds data pipelines with built-in intelligence HPE Alletra Storage MP B10000 to add unified block and file storage, software-defined cloud storage on Microsoft Azure, and
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HPE and Nvidia announce major enhancements to their AI infrastructure offerings, including unified data platforms, new storage solutions, and expanded partnership initiatives to meet the growing demands of enterprise AI adoption.

Hewlett Packard Enterprise (HPE) and Nvidia have announced significant enhancements to their partnership, focusing on revolutionizing enterprise AI infrastructure. This collaboration aims to address the growing demands of AI-driven workloads and the challenges of managing vast amounts of unstructured data
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.At the heart of this initiative is the introduction of unified data platforms that can handle diverse workloads across block, file, and object storage. HPE's Alletra MP product line exemplifies this approach, offering a disaggregated storage architecture built on NVMe for seamless scaling
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. The new unified data layer for AI supports structured, unstructured, and streaming data across hybrid cloud environments, integrating with the Nvidia AI Data Platform4
.HPE is expanding its storage offerings to meet AI-specific needs:
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.The partnership introduces several AI-focused infrastructure improvements:
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The collaboration extends beyond hardware to include:
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.This partnership represents a significant shift in enterprise AI strategy. HPE's SVP Jim O'Dorisio emphasizes that storage is no longer just where data sits, but where value is created
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. The collaboration aims to simplify complexity, reduce operational costs, and unlock the full potential of AI at scale2
.Industry analysts note that this shift is driven by the need for flexibility without sacrificing performance. Rob Strechay, principal analyst at theCUBE Research, highlights the phenomenal growth of Alletra MP and the importance of unified data services in full lifecycle management
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.As AI continues to reshape enterprise computing, HPE and Nvidia's strengthened partnership positions them at the forefront of this transformation. Their integrated approach to AI infrastructure promises to accelerate adoption and innovation across various industries
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