Hewlett Packard Enterprise advances AI in their solutions

What is NVIDIA AI Computing by HPE?

Hewlett Packard Enterprise (HPE) and NVIDIA unveiled NVIDIA AI Computing by HPE, a new portfolio of co-developed AI solutions designed to accelerate enterprise adoption of generative AI. This collaboration brings together the strengths of both companies to simplify and fast-track the path to real AI outcomes.

The centerpiece of the portfolio is HPE Private Cloud AI—a turnkey private cloud solution purpose-built for AI. It offers organisations a fast, secure, and energy-efficient way to develop and deploy generative AI, with full lifecycle support and a seamless cloud experience delivered through HPE GreenLake.

Key highlights include:

• Control and compliance: HPE Private Cloud AI gives enterprises control over their proprietary data, ensuring privacy, security, and governance while enabling agility.

• Deep integration: The platform merges NVIDIA’s full AI computing stack—including NVIDIA AI Enterprise and inference microservices—with HPE’s compute, networking, and file storage infrastructure.

• Smarter operations: Integrated with OpsRamp AI Copilot, the solution provides observability and intelligent insights, helping IT teams manage workloads across hybrid environments more effectively.

• Flexible scaling: Four configuration options are available to meet a wide range of AI workloads and use cases.

HPE announced support for NVIDIA’s latest processors and architectures, ensuring enterprises can run large language models (LLMs), retrieval-augmented generation (RAG), and other AI tasks on cutting-edge infrastructure.

Why it matters

This partnership removes barriers to AI adoption by providing a fully integrated, cloud-native solution. Organisations can now accelerate innovation, improve productivity, and unlock new revenue opportunities—without compromising on security or sustainability.

HPE and NVIDIA are delivering the AI infrastructure enterprises need to turn bold ideas into transformative outcomes.

Introducing the HPE ProLiant Compute Gen12

HPE has launched the next-generation ProLiant Compute Gen12 servers, setting a new standard for security, performance, and energy efficiency. These servers include advanced AI-driven management tools and significantly reduce energy consumption.

Your business faces increasing demands—complex workloads, security threats, rising costs, and environmental responsibilities. The HPE Gen12 servers address these directly. They offer top-tier security at every level, improved performance, and dramatically lower energy use—up to 65% less power consumption annually compared to previous generations.

HPE & NVIDIA Announces a Unified AI Data Platform

Hewlett Packard Enterprise (HPE) announced a major step forward in enterprise AI with the introduction of a unified data layer for AI, deepened collaboration with NVIDIA, and expanded enhancements to its data storage portfolio. Together, these developments are designed to help organizations unlock faster, more intelligent insights from their data—no matter where it lives.

Transforming the AI Data Pipeline with NVIDIA

Through support for the new NVIDIA AI Data Platform, HPE is helping enterprises streamline the full AI data lifecycle—from ingestion to inference. This customizable platform integrates NVIDIA’s accelerated computing and AI software with HPE’s storage and data infrastructure to deliver high-performance, AI-ready data pipelines. When paired with HPE Private Cloud AI, the solution enables businesses to turn complex, distributed data into actionable intelligence at speed.

NVIDIA and HPE are collaborating to ensure AI agents have secure, fast access to the right data—powering better reasoning, decision-making, and business outcomes.

Smarter Storage for Faster Insights

HPE is evolving its Alletra Storage MP portfolio to support a new era of AI workloads:

• The X10000 system now enables automated metadata tagging to accelerate data preparation and model training.

• A planned enhancement will allow direct memory transfers between GPUs, system memory, and the X10000—streamlining AI data flow.

• Expanded support for NVIDIA networking ensures seamless data movement across systems.

HPE’s file storage solutions, validated through the new NVIDIA-Certified Storage Program, further ensure enterprises can confidently build AI factories with speed, scale, and reliability.

Unlocking Unified, AI-Ready Data

At the core of this strategy is HPE’s unified data layer, powered by HPE Data Fabric Software. It simplifies access to structured, unstructured, and streaming data across edge-to-cloud environments—making sure AI models are consistently fed with the high-quality data they need.

By unifying data across vendors and clouds, the solution:

• Speeds time to insight
• Improves governance and observability
• Enables enterprises to run AI at scale without rethinking their infrastructure

Enterprise-Grade Protection and Flexibility

HPE is also expanding the Alletra Storage MP B10000, delivering:

• Unified block and file access on a single operating system—the first of its kind—so organizations can manage storage as one seamless fleet

• Software-defined storage on Microsoft Azure, making hybrid cloud management simpler and more automated

• Integrated ransomware detection and recovery, combining HPE’s storage tools with Zerto for multi-layered data protection across applications and environments

Why It Matters

This announcement represents a bold move to help enterprises reduce complexity and unlock the full value of their data. By combining AI-ready infrastructure with intelligent, secure data services, HPE and NVIDIA are giving businesses the tools to act faster, scale smarter, and innovate with confidence.

HPE is enabling organisations to move from siloed data to unified intelligence—so they can go further, faster, with AI.

HPE Alletra Storage MP X10000 Release 2.0

Hewlett Packard Enterprise (HPE) has announced Release 2.0 of HPE Alletra Storage MP X10000, a major upgrade bringing next-level performance, intelligence, security, and flexibility to support enterprise AI workloads, including generative AI, large language models (LLMs), and advanced analytics. This release is designed to help organisations unlock faster insights, reduce operational complexity, and future-proof their data strategies—all while managing explosive data growth.

Unlocking the Power of Storage-Level Data Intelligence

As data scales to petabytes and beyond, moving it to separate processing environments becomes inefficient. The X10000 addresses this with inline data intelligence at the storage layer, enabling real-time metadata enrichment (including vector embeddings) for faster and more relevant insights. This significantly improves outcomes for AI use cases like Retrieval-Augmented Generation (RAG) and LLM training.

A new data intelligence API and software development kit (SDK) simplifies the creation of RAG pipelines, allowing enterprises to connect storage directly with vector databases and LLMs using just a few lines of code.

Unified Edge-to-Cloud Access

HPE Data Fabric Software, now the core of the HPE Private Cloud AI data lakehouse, provides unified, intelligent data access across hybrid environments. With support for Apache Iceberg and the X10000, enterprises can manage structured, unstructured, and streaming data efficiently, while integrating high-performance tiers for demanding workloads.

Performance Breakthroughs with NVIDIA

In partnership with NVIDIA, HPE is enabling GPU Direct RDMA support on the X10000. This bypasses CPU and TCP/IP layers for ultra-low-latency data movement between GPU memory, system memory, and storage—crucial for AI workflows. A new SDK, built to work with NVIDIA’s CUDA ecosystem, further simplifies RDMA access for developers.

Scalable, Cost-Efficient Storage

The X10000 now supports 15 TB, 30 TB, and 60 TB QLC SSD drives, delivering more capacity at a lower cost and with greater energy efficiency than traditional TLC drives. This makes it ideal for businesses looking to optimise large-scale, capacity-intensive workloads without sacrificing performance.

Built-In Security and Cyber Resilience

Release 2.0 adds object versioning, S3 object lock-based immutability, and self-encrypting drive (SED) support to strengthen ransomware protection and data privacy. These enhancements help reduce recovery time and simplify compliance, while maintaining high performance.

Faster Backup and Recovery

With optional integration of a new data protection accelerator node and HPE StoreOnce VSA, the X10000 enables flash-speed backup and restores. This delivers up to 20x data reduction, reduces network load, and allows rapid recovery in case of outages or cyberattacks—modernising legacy data protection.

Flexible Consumption with HPE GreenLake Flex

Organisations can now choose between upfront purchase or a pay-per-use model via HPE GreenLake Flex. This consumption-based option offers real-time cost control, efficient scaling, and fully managed services—reducing overprovisioning while aligning IT costs with business needs.

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