Hewlett Packard Enterprise Drives Agentic AI Era With an Intelligent, Unified Data Layer for AI
Hewlett Packard Enterprise (HPE) has unveiled a unified data layer for AI, strengthening its collaboration with NVIDIA and enhancing its enterprise data storage portfolio. The company announced support for the new NVIDIA AI Data Platform, which aims to accelerate AI reasoning workloads through specialized AI agents.
Key announcements include:
- HPE Alletra Storage MP X10000 with automated metadata tagging for AI-ready object data
- HPE Alletra Storage MP B10000's expansion to support unified block and file storage
- New HPE Alletra Block Storage for Azure offering software-defined cloud storage
- Integration of ransomware detection and recovery capabilities
The unified data layer will combine structured and unstructured data, accelerating the AI data lifecycle through HPE's high-performance data fabric and enterprise storage. These solutions will be available starting May-Summer 2025, enabling organizations to run AI at scale across their data environments through the HPE GreenLake cloud platform.
Hewlett Packard Enterprise (HPE) ha presentato uno strato di dati unificato per l'IA, rafforzando la sua collaborazione con NVIDIA e migliorando il suo portafoglio di archiviazione dati aziendale. L'azienda ha annunciato il supporto per la nuova Piattaforma Dati AI NVIDIA, che mira ad accelerare i carichi di lavoro di ragionamento dell'IA attraverso agenti AI specializzati.
Le principali novità includono:
- HPE Alletra Storage MP X10000 con tagging automatico dei metadati per dati oggetto pronti per l'IA
- Espansione dell'HPE Alletra Storage MP B10000 per supportare l'archiviazione unificata di blocchi e file
- Nuovo HPE Alletra Block Storage per Azure che offre archiviazione cloud definita dal software
- Integrazione delle capacità di rilevamento e recupero da ransomware
Lo strato di dati unificato combinerà dati strutturati e non strutturati, accelerando il ciclo di vita dei dati per l'IA attraverso il tessuto dati ad alte prestazioni di HPE e l'archiviazione aziendale. Queste soluzioni saranno disponibili a partire da maggio-estate 2025, consentendo alle organizzazioni di eseguire l'IA su larga scala nei loro ambienti di dati attraverso la piattaforma cloud HPE GreenLake.
Hewlett Packard Enterprise (HPE) ha presentado una capa de datos unificada para IA, fortaleciendo su colaboración con NVIDIA y mejorando su portafolio de almacenamiento de datos empresariales. La compañía anunció su apoyo a la nueva Plataforma de Datos AI de NVIDIA, que tiene como objetivo acelerar las cargas de trabajo de razonamiento de IA a través de agentes de IA especializados.
Los anuncios clave incluyen:
- HPE Alletra Storage MP X10000 con etiquetado automático de metadatos para datos de objeto listos para IA
- Expansión del HPE Alletra Storage MP B10000 para soportar almacenamiento unificado de bloques y archivos
- Nuevo HPE Alletra Block Storage para Azure que ofrece almacenamiento en la nube definido por software
- Integración de capacidades de detección y recuperación de ransomware
La capa de datos unificada combinará datos estructurados y no estructurados, acelerando el ciclo de vida de los datos de IA a través de la tela de datos de alto rendimiento de HPE y el almacenamiento empresarial. Estas soluciones estarán disponibles a partir de mayo-verano de 2025, permitiendo a las organizaciones ejecutar IA a gran escala en sus entornos de datos a través de la plataforma en la nube HPE GreenLake.
휴렛팩커드 엔터프라이즈(HPE)가 AI를 위한 통합 데이터 레이어를 공개하며, NVIDIA와의 협력을 강화하고 기업 데이터 저장 포트폴리오를 향상시켰습니다. 이 회사는 전문 AI 에이전트를 통해 AI 추론 작업을 가속화하는 것을 목표로 하는 새로운 NVIDIA AI 데이터 플랫폼에 대한 지원을 발표했습니다.
주요 발표 사항은 다음과 같습니다:
- AI 준비가 완료된 객체 데이터에 대한 자동 메타데이터 태깅을 갖춘 HPE Alletra Storage MP X10000
- 블록 및 파일 저장소를 통합 지원하는 HPE Alletra Storage MP B10000의 확장
- 소프트웨어 정의 클라우드 저장소를 제공하는 Azure용 새로운 HPE Alletra Block Storage
- 랜섬웨어 탐지 및 복구 기능의 통합
통합 데이터 레이어는 구조화된 데이터와 비구조화된 데이터를 결합하여 HPE의 고성능 데이터 패브릭과 기업 저장소를 통해 AI 데이터 수명 주기를 가속화합니다. 이러한 솔루션은 2025년 5월-여름부터 제공될 예정이며, 조직이 HPE GreenLake 클라우드 플랫폼을 통해 데이터 환경 전반에 걸쳐 AI를 대규모로 운영할 수 있도록 합니다.
Hewlett Packard Enterprise (HPE) a dévoilé une couche de données unifiée pour l'IA, renforçant sa collaboration avec NVIDIA et améliorant son portefeuille de stockage de données d'entreprise. L'entreprise a annoncé son soutien à la nouvelle Plateforme de Données AI NVIDIA, qui vise à accélérer les charges de travail de raisonnement en IA grâce à des agents IA spécialisés.
Les annonces clés incluent :
- HPE Alletra Storage MP X10000 avec étiquetage automatique des métadonnées pour des données d'objet prêtes pour l'IA
- Expansion de HPE Alletra Storage MP B10000 pour prendre en charge le stockage unifié de blocs et de fichiers
- Nouvelle HPE Alletra Block Storage pour Azure offrant un stockage cloud défini par logiciel
- Intégration des capacités de détection et de récupération de ransomware
La couche de données unifiée combinera des données structurées et non structurées, accélérant le cycle de vie des données IA grâce au tissu de données haute performance de HPE et au stockage d'entreprise. Ces solutions seront disponibles à partir de mai-été 2025, permettant aux organisations d'exécuter l'IA à grande échelle dans leurs environnements de données via la plateforme cloud HPE GreenLake.
Hewlett Packard Enterprise (HPE) hat eine einheitliche Datenebene für KI vorgestellt, die die Zusammenarbeit mit NVIDIA stärkt und das Unternehmensdatenspeicherportfolio verbessert. Das Unternehmen kündigte die Unterstützung der neuen NVIDIA AI-Datenplattform an, die darauf abzielt, KI-Argumentationslasten durch spezialisierte KI-Agenten zu beschleunigen.
Zu den wichtigsten Ankündigungen gehören:
- HPE Alletra Storage MP X10000 mit automatischer Metadatenkennzeichnung für KI-bereite Objektdaten
- Erweiterung des HPE Alletra Storage MP B10000 zur Unterstützung von einheitlichem Block- und Dateispeicher
- Neues HPE Alletra Block Storage für Azure, das softwaredefinierten Cloud-Speicher bietet
- Integration von Ransomware-Erkennungs- und Wiederherstellungsfunktionen
Die einheitliche Datenebene wird strukturierte und unstrukturierte Daten kombinieren und den KI-Datenlebenszyklus durch das leistungsstarke Datengewebe von HPE und den Unternehmensspeicher beschleunigen. Diese Lösungen werden ab Mai-Sommer 2025 verfügbar sein und es Organisationen ermöglichen, KI in großem Maßstab über ihre Datenumgebungen hinweg über die HPE GreenLake-Cloud-Plattform auszuführen.
- First vendor to support disaggregated scale-out unified block and file storage on single OS
- Integration with Microsoft Azure enhances hybrid cloud capabilities
- Enhanced data security through multi-layered ransomware protection
- Automated metadata tagging capability improves AI data processing efficiency
- Extended wait time for product availability (Summer 2025)
- Requires significant infrastructure updates to implement new features
Insights
HPE's announcement represents a significant strategic advancement in the enterprise AI infrastructure space. By creating a unified data layer that bridges structured and unstructured data across hybrid environments, HPE is addressing one of the fundamental challenges in enterprise AI adoption - fragmented data pipelines that slow model development and deployment.
The technical collaboration with NVIDIA is particularly noteworthy. Rather than simply reselling NVIDIA GPUs, HPE is deeply integrating NVIDIA's technology stack including AI Enterprise software, NIM microservices, and Llama Nemotron reasoning models. This creates a comprehensive AI solution that spans from hardware to application layer.
The HPE Alletra Storage MP X10000's new inline metadata tagging capability represents genuine innovation in making object storage AI-ready. Most enterprise storage solutions treat AI as an afterthought, requiring extensive ETL processes before data becomes usable for models. HPE's approach of making data AI-ready at ingest provides meaningful workflow acceleration.
HPE's claim of being the industry's first to support disaggregated scale-out unified block and file on a single OS and architecture represents a technical achievement that should reduce operational complexity significantly. Customers can now consolidate storage infrastructure while maintaining workload-specific optimizations.
The ransomware protection integration is timely given the escalating threats facing enterprises, particularly those deploying sensitive AI applications. The mid-2025 availability timeline indicates these are mature developments rather than conceptual announcements.
This product launch strengthens HPE's competitive positioning against both traditional infrastructure players (Dell, IBM) and cloud hyperscalers (AWS, Microsoft, Google). By focusing on the unified data layer approach, HPE is differentiating through data intelligence rather than just raw storage capacity or performance metrics, potentially commanding premium pricing.
The deepened NVIDIA partnership gives HPE privileged access to the AI value chain beyond just hardware. By supporting the NVIDIA AI Data Platform, HPE gains integration advantages that standalone storage vendors can't match. This positions HPE as a more complete enterprise AI solution provider rather than just an infrastructure component supplier.
HPE's Microsoft Azure integration demonstrates recognition that enterprises demand hybrid capabilities. By offering consistent storage management across on-premises and Azure environments, HPE addresses the reality that most enterprises operate in hybrid mode rather than fully on-premises or fully cloud.
The VodafoneZiggo reference implementation provides important validation for HPE's approach, particularly valuable coming from a telecom operator with massive data requirements. For HPE, having telecommunications companies adopt their AI infrastructure creates opportunities for expansion into a sector undergoing extensive AI transformation.
The timing of availability (May and Summer 2025) aligns with typical enterprise procurement cycles, giving HPE time to build pipeline while allowing customers to plan migrations strategically. This announcement reflects HPE's execution of its longer-term strategy to capture share in the high-margin enterprise AI infrastructure market, beyond its traditional server and storage segments.
HPE's unified data layer announcement represents a strategic advancement in enterprise AI infrastructure, targeting the critical challenge of data fragmentation that currently impedes AI adoption. By bringing together structured and unstructured data across hybrid environments, HPE is positioning itself as a comprehensive solution provider in the growing agentic AI market.
The NVIDIA partnership transcends typical vendor relationships, creating deep technical integration across HPE's storage portfolio with NVIDIA's AI software stack including AI Enterprise, NIM microservices, and Llama Nemotron reasoning models. This vertical integration gives HPE significant differentiation against storage-only competitors.
Technical innovations in HPE Alletra Storage MP X10000 with automatic inline metadata tagging for object data represents a genuine workflow improvement, making data AI-ready at ingest rather than requiring separate processing steps. The claimed industry-first unified block and file storage on a single architecture addresses operational complexity that has plagued enterprise storage environments.
The Microsoft Azure integration demonstrates HPE's recognition that enterprises demand hybrid capabilities that span on-premises and cloud environments. This aligns with enterprise reality rather than forcing all-or-nothing deployment models.
The VodafoneZiggo reference implementation provides important validation, particularly valuable from a telecommunications operator with massive data processing requirements. This suggests HPE's approach can scale to the most demanding enterprise environments.
With availability set for May and Summer 2025, these announcements represent mature development efforts rather than conceptual demonstrations. The timing aligns with enterprise procurement cycles, allowing customers to plan implementations while HPE builds its sales pipeline. This release strengthens HPE's position in the high-value enterprise AI infrastructure segment where margins typically exceed traditional server and storage hardware.
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 integrated ransomware detection and recovery
The new unified data layer brings together both structured and unstructured data, speeding up the AI data lifecycle through a combination of HPE’s high-performance data fabric and leading enterprise storage with sophisticated data intelligence. When deployed with the new NVIDIA AI Data Platform, organizations will be able to feed their AI applications, models and agents intelligently with AI-ready data.
"To thrive in the agentic AI era, data management must undergo a fundamental shift. With our unified data layer, intelligent storage, and HPE Private Cloud AI, enterprises can run AI at scale—wherever their data lives," said Fidelma Russo, executive vice president and general manager, Hybrid Cloud and CTO at HPE. "Our approach for harnessing highly distributed, hybrid data in collaboration with NVIDIA gives organizations a competitive edge, while accelerating time to value.”
“NVIDIA and HPE are working together to pave the way for AI agents to connect to business knowledge through high-performance intelligent data infrastructure. The AI data platforms we’re building together will enable enterprises to leverage their data during inference to power AI reasoning that delivers insights and drives action,” said Justin Boitano, vice president, Enterprise Software at NVIDIA.
HPE and NVIDIA transform the entire AI data pipeline to accelerate business insights
The rise of agentic and physical AI is set to radically increase data generation and use from edge to cloud, but today the fragmented and distributed nature of enterprise data limits AI-driven insights. Together with NVIDIA, HPE will accelerate the entire pipeline of data through the unified data layer and the new NVIDIA AI Data Platform.
Built on NVIDIA’s expertise in AI workflow optimization, the NVIDIA AI Data Platform is a customizable reference design for integrating NVIDIA accelerated computing, networking and AI software with enterprise storage to transform data into actionable intelligence. HPE will support the NVIDIA AI Data Platform through HPE Private Cloud AI as well as HPE Alletra Storage MP B10000, HPE Alletra Storage MP X10000 and HPE GreenLake for File Storage. The platform speeds AI reasoning workloads with specialized AI agents that use NVIDIA AI Enterprise software, including NVIDIA AI-Q Blueprints, NVIDIA NIM microservices and new NVIDIA Llama Nemotron reasoning models.
To ensure high-speed AI data access, HPE Alletra Storage MP will also expand support for NVIDIA Networking.
Additionally, HPE GreenLake for File Storage, the file storage service for HPE Private Cloud AI, is now validated for enterprise AI Factories with the new NVIDIA-Certified Storage Program. This program is designed for enterprise deployments and represents a significant step forward in ensuring that enterprise AI factories are built on a foundation of high-performance, reliable data solutions.
HPE accelerates AI time to value with AI-ready data across hybrid cloud
The intelligent, unified data layer is designed to expedite data flow across HPE GreenLake cloud and multi-vendor, multicloud environments with:
- Unified, seamless edge-to-cloud data access: HPE Data Fabric Software, which will now support HPE Alletra Storage MP X10000 and Apache Iceberg, is the data backbone of the HPE Private Cloud AI data lakehouse and the unified data layer. HPE Data Fabric ensures AI models are consistently supplied with optimized, high-quality structured, unstructured and streaming data.
- AI-ready data with advanced intelligence: The latest advancements to HPE Alletra Storage MP X10000 will enable organizations to create AI-ready object data with new automated, inline metadata tagging. Enterprises can infuse their object data—as it is stored—with intelligence that accelerates ingestion by downstream AI applications. HPE expects to further accelerate the X10000’s performance through the ongoing collaboration with NVIDIA to enable a direct data path for remote direct memory access (RDMA) transfers between GPU memory, system memory and the X10000.
“The VodafoneZiggo vision is to transform into an autonomous network driven by data and AI, with a Network Data Hub (NDH) for Assurance Data,” said Jannie Minnema, Head of Operational Support Systems Assurance and Tools, VodafoneZiggo. “The HPE Data Fabric is the foundation of our NDH, enabling our journey towards secure and seamless connectivity. HPE Data Fabric supports us to deliver data-as-a-service with data unification, governance, intelligence, orchestration, and transformation.”
HPE expands block storage with unified file storage, Microsoft Azure cloud storage and integrated ransomware detection
To simplify data management, the HPE Alletra Storage MP B10000 is expanding to enable customers to address more diverse workloads via unified file access, enhance ransomware protection, and easily move data between on-prem data centers and public clouds.
- Superior flexibility and economics with unified storage: HPE is the industry’s first vendor to support disaggregated scale-out unified block and file on a single operating system (OS) and storage architecture.1 With a common storage architecture and OS, customers can manage their entire environment as a unified fleet, which reduces management complexity and improves efficiency.
- Simplified management with AI-driven hybrid cloud experience: New HPE Alletra Block Storage for Azure simplifies data management and workload placement across hybrid cloud with software-defined storage on Microsoft Azure. Comprehensive AIOps automate provisioning and support, creating the foundation for autonomous storage management.
- Minimize Ransomware Risks: Customers can now safeguard data with multi-layered ransomware detection and protection. The combination of new native ransomware detection and recovery in the B10000 array and Zerto means data is protected across storage arrays and apps.
Availability
- HPE Data Fabric with support for HPE Private Cloud AI and HPE Alletra Storage MP X10000 will be available in Summer 2025.
- The significant updates to the B10000 and the X10000 will be orderable in May 2025.
Additional Resources
- BLOG: Supercharge AI by Unleashing Object Storage Data Intelligence and Performance (X10000)
- BLOG: Groundbreaking advancements unveiled: HPE Alletra Storage MP B10000
- BLOG: Fueling AI innovation with HPE Data Fabric
About Hewlett Packard Enterprise
Hewlett Packard Enterprise (NYSE: HPE) is a global technology leader focused on developing intelligent solutions that allow customers to capture, analyze, and act upon data seamlessly. The company innovates across networking, hybrid cloud, and AI to help customers develop new business models, engage in new ways, and increase operational performance. For more information, visit: www.hpe.com.
1 Based on HPE’s analysis of leading storage vendors in March 2025.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250318972365/en/
Media Contact:
Victor O’Brien
victor.obrien@hpe.com
Source: Hewlett Packard Enterprise
FAQ
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