At NVIDIA GTC 2025, Hewlett Packard Enterprise (HPE) announced a slew of new storage capabilities, including a new unified data layer. These capabilities are designed to accelerate AI adoption by integrating structured and unstructured data across multi-vendor and multi-cloud environments.

The new capabilities and an expanded partnership with NVIDIA, helps HPE customers optimize AI workloads through HPE GreenLake cloud and NVIDIA’s AI Data Platform.

Details

HPE introduced several advancements in data management and AI infrastructure, addressing challenges related to fragmented enterprise data and AI performance optimization:

Unified Data Layer for AI

1. HPE integrates its high-performance data fabric with enterprise storage to optimize AI workloads.
2. The unified data layer improves AI-driven insights by enhancing data access, intelligence, and governance across cloud and on-premises environments.
3. HPE GreenLake cloud enables enterprises to efficiently manage and process AI-ready data across multi-vendor, multi-cloud environments.

Expanded Collaboration with NVIDIA

1. HPE adopts NVIDIA’s new AI Data Platform, which integrates accelerated computing, networking, and AI software with enterprise storage to optimize AI inference and reasoning.
2. The collaboration includes NVIDIA AI Enterprise software support, NVIDIA AI-Q Blueprints, NVIDIA NIM microservices, and NVIDIA Llama Nemotron reasoning models.
3. HPE Private Cloud AI and HPE Alletra Storage MP (B10000 and X10000) integrate with NVIDIA’s AI stack to accelerate AI applications.
4. NVIDIA Networking support expands within HPE Alletra Storage MP to enhance high-speed AI data transfers.

Advancements in AI Data Readiness and Processing

1. HPE Data Fabric Software supports HPE Alletra Storage MP X10000 and Apache Iceberg, creating an edge-to-cloud data backbone for AI workloads.
2. AI-ready object data benefits from automated, inline metadata tagging, accelerating AI ingestion and improving data indexing.
3. Direct data paths for RDMA enable low-latency transfers between GPU memory, system memory, and storage.

Enterprise AI Factories and Certified AI Storage

1. HPE GreenLake for File Storage now meets NVIDIA’s Certified Storage Program requirements, ensuring enterprise AI factory compatibility with high-performance AI workflows.
2. Enterprises can deploy NVIDIA-validated storage solutions to accelerate AI training, inference, and deployment at scale.

Storage Enhancements and Security Features

1. HPE Alletra Storage MP B10000 expands its capabilities with unified block and file storage, reducing complexity and improving data accessibility.
2. HPE Alletra Block Storage for Azure integrates software-defined storage for simplified hybrid cloud management and workload placement.
3. Multi-layered ransomware detection and recovery within the B10000 array and Zerto strengthens enterprise security, mitigating threats to AI and business-critical workloads.

Analysis

By integrating structured and unstructured data across multi-cloud environments, HPE enhances data accessibility, intelligence, and governance, addressing a key challenge in enterprise AI adoption.

Meeting the demands of NVIDIA’s new AI Data Platform demonstrates that HPE’s new capabilities will help accelerate AI inference and reasoning workloads with high-performance computing and optimized data pipelines.

HPE’s focus on AI-ready data infrastructure and collaboration with NVIDIA is the logical next step as the company furthers its AI strategy while also strengthening its position against both traditional storage vendors and hyperscalers.

Competitive Outlook & Advice to IT Buyers

The Couchbase Edge Server competes directly against solutions like MongoDB Realm, AWS IoT Greengrass, and Azure SQL Edge.

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