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HPE Introduces New NVIDIA-powered AI Factory Solutions to Drive Global AI Adoption at Scale
HPE unveiled new solutions designed to accelerate the development, implementation, and management of AI factories, supporting the full AI lifecycle and catering to organizations of all kinds.
Key Highlights
- HPE augments its NVIDIA AI Computing by HPE portfolio of AI factory solutions by integrating NVIDIA Blackwell GPUs, introducing new composable solutions tailored for service providers, model developers, and sovereign organizations alongside next-generation HPE Private Cloud AI, a comprehensive AI factory designed for enterprises.
- The signature offering in the NVIDIA AI Computing by HPE portfolio, Private Cloud AI is offered as a fully integrated turnkey AI factory offering with NVIDIA accelerated computing, networking and software.
- New AI factory solutions integrate HPE’s latest AI advancements and expertise, leveraging five decades of industry-leading liquid cooling technology and HPE Morpheus Enterprise Software to provide a seamless, unified control plane.
- New HPE Compute XD690 supports eight NVIDIA Blackwell Ultra GPUs and reflects HPE’s continued commitment to be a time-to-market leader.
- To keep AI factories and applications consistently supplied with AI-ready unstructured data, HPE Alletra Storage MP X10000 will incorporate support for Model Context Protocol (MCP) servers. By combining MCP with the X10000’s embedded data intelligence, data pipelines are significantly accelerated.
The News
HPE announced new solutions to supercharge the creation, adoption and management of AI factories across the entire AI lifecycle and for every type of organization. HPE is expanding its NVIDIA AI Computing by HPE portfolio of AI factory solutions with NVIDIA Blackwell GPUs, including new composable solutions optimized for service providers, model builders and sovereign entities, as well as the next generation of HPE Private Cloud AI, the turnkey AI factory for enterprises. Find out more by clicking here to read the press release.
Analyst Take
HPE is aiming to accelerate AI factory deployment with the next-generation HPE Private Cloud AI, a flagship solution in the NVIDIA AI Computing by HPE portfolio. This turnkey AI factory integrates NVIDIA’s accelerated computing, networking, and software, offering: support for NVIDIA Blackwell on top-ranked HPE ProLiant Compute Gen12 servers with secure enclaves, post-quantum cryptography, and trusted supply chain features; massive scalability across GPU generations, including NVIDIA H200 NVL and RTX PRO 6000 Server Edition GPUs, for diverse AI workloads such as agentic and physical AI. Moreover, a federated architecture for unified resource pooling; air-gapped management for stringent data privacy; multi-tenancy for collaborative resource partitioning; NVIDIA AI Blueprints, including the AI-Q Blueprint for AI agent workflows; and a “try and buy” program for testing in Equinix’s global data centers before purchase.
The integrated end-to-end solutions and services for AI factories can remove the complexity of customers having to compile a full AI tech stack on their own when building a modern AI-ready data center.
HPE Augments AI Factory portfolio with New Validated Solutions, Executing Portfolio-wide Innovation
HPE’s new AI factory solutions integrate AI advancements with HPE’s expertise, including five decades of liquid cooling expertise and HPE Morpheus Enterprise Software for a unified control plane. Unlike most competitors, these pre-integrated, modular, full-stack solutions are composable and validated, accelerating time to value for customers. HPE OpsRamp Software enables AI-driven observability across Private Cloud AI and new AI factory solutions, now validated for the NVIDIA Enterprise AI Factory, providing comprehensive stack monitoring. Designed for large-scale operations like service providers and model builders, the AI factory at scale includes HPE ProLiant Compute XD, NVIDIA AI Enterprise software and blueprints, air- and liquid-cooling technologies, and extensive advisory and professional services. The AI factory for sovereigns, tailored for nations, governments, and public sector entities, offers specialized features like air-gapped management and solutions ensuring data, technological, and operational sovereignty.
By using NVIDIA Enterprise AI Factory validated design, AI factory solutions from HPE can be deployed using the latest NVIDIA accelerated computing, NVIDIA Spectrum-X Ethernet networking, NVIDIA BlueField-3 DPUs, and NVIDIA AI Enterprise software to ensure high performance, robust security, efficient storage acceleration, and scalable infrastructure for rapidly scaling enterprise AI journeys.
From my viewpoint HPE benefits directly from bolstering its NVIDIA partnership, since the NVIDIA Enterprise AI Factory validated design is pivotal for AI innovation, delivering an integrated, full-stack platform that combines NVIDIA’s Blackwell accelerated computing, high-speed Spectrum-X networking, AI Enterprise software, and a strong partner ecosystem to create secure, scalable, and high-performance on-premises AI infrastructure.
It optimizes the entire AI workflow, from data processing and model training to deployment and inference, that can ensure efficiency, reliability, and cost-effectiveness for agentic AI, physical AI, and high-performance computing tasks. With validated reference architectures and tools like NVIDIA NIM microservices and AI Blueprints, it enables IT teams to speed up deployment, improve scalability, and meet dynamic AI needs, cultivating organizational change and unlocking advancements in productivity, data analytics, and generative AI applications across industries.
HPE Compute XD690 and Alletra Storage MP X10K Portfolio Boosts
The new HPE Compute XD690, supporting eight NVIDIA Blackwell Ultra GPUs, underscores HPE’s dedication to leading time-to-market with NVIDIA’s accelerated computing for AI. HPE Performance Cluster Manager provides comprehensive system management, advanced infrastructure monitoring, and alerting for large-scale, complex AI environments spanning thousands of nodes.
I find that HPE Performance Cluster Manager is crucial for managing large-scale, complex AI environments because it provides fully integrated systems management, advanced infrastructure monitoring, and real-time alerting across massive thousand-prong nodes. Designed to support HPE’s AI factory solutions, such as those leveraging NVIDIA Blackwell Ultra GPUs, it ensures seamless operation and optimization of accelerated computing resources.
By offering a unified control plane, it simplifies the management of diverse AI workloads, enhances system reliability, and minimizes downtime through proactive issue detection. This enables organizations, particularly those operating at scale like service providers and model builders, to efficiently deploy and maintain high-performance AI infrastructures, accelerating time to value and ensuring robust performance in demanding AI-driven ecosystems.
To keep AI factories and applications consistently powered with AI-ready unstructured data, HPE Alletra Storage MP X10000 will incorporate Model Context Protocol (MCP) servers. By combining MCP with the X10000’s integrated data intelligence, data pipelines are accelerated, enabling AI factories, applications, and agents to efficiently process and utilize intelligent unstructured data. The X10000 also aligns with the NVIDIA AI Data Platform reference design and provides an SDK to simplify unstructured data pipelines for ingestion, inferencing, training, and ongoing learning.
From my perspective, MCP servers are vital to keeping AI factories and applications consistently powered with AI-ready unstructured data because they enable integration and processing of complex, unstructured datasets within systems such as the HPE Alletra Storage MP X10000. By facilitating efficient data pipeline acceleration, MCP servers ensure that AI factories, applications, and agents can rapidly access and act on intelligent unstructured data, which is critical for tasks like inferencing, training, and continuous learning. Their compatibility with advanced storage solutions and reference designs, such as the NVIDIA AI Data Platform, allows for streamlined data ingestion and processing, reducing latency and enhancing scalability. This ensures that AI environments remain agile, data-driven, and capable of supporting diverse, high-performance workloads in real-time, which is essential for maintaining operational efficiency across AI-driven ecosystems.
As a result, I discern that HPE maintains a competitive edge in the AI Factory market over Dell and Lenovo through its holistic, agile AI infrastructure solutions, tightly integrated with NVIDIA’s cutting-edge technologies and strengthened by its dominance in high-performance computing (HPC) and supercomputing. Its AI Factory offerings, such as HPE Private Cloud AI and GreenLake, provide enterprise-ready generative AI infrastructure optimized for NVIDIA GPUs, incorporating advanced liquid-cooling and validated ProLiant Gen 12 server designs for exceptional energy efficiency and performance in agentic and physical AI workloads.
While Dell is perceived as implementing a go-to-market strategy that heavily targets scalable mid-market AI solutions and Lenovo is seen as focusing on high-end infrastructure, HPE’s Cray portfolio capabilities and supercomputing expertise position it to address intricate, large-scale AI training and inference demands, especially in scientific research and sovereign AI use cases. Furthermore, HPE’s recent $1 billion AI server contract with X underscores its market momentum, surpassing competitors in key enterprise deals, with its comprehensive services, flexible financing, and strong partner network accelerating AI adoption for faster, sustainable business value.
HPE Expands Unleash AI Roster and Bets on Accenture AI Refinery
HPE’s Unleash AI initiative has expanded its ecosystem by adding 26 new partners, enabling support for over 75 AI use cases tailored to diverse enterprise needs. By integrating the latest NVIDIA AI Blueprints, internal professional services, and a robust partner network, HPE delivers solutions spanning agentic AI, sovereign AI, smart cities, industrial and manufacturing applications, data governance, privacy, responsible AI, video analytics, security, and cybersecurity. This enhanced ecosystem empowers organizations to address complex challenges with scalable, industry-specific AI deployments, driving innovation and operational efficiency across multiple sectors.
I find the support of over 75 AI use cases provides HPE the opportunity to win new mind share across enterprises by developing an AI use case index that highlights which use cases are gaining the most traction and why. This approach can give enterprises more confidence to embark on solid use cases with a track record as well as position HPE to gain thought leadership in the tightly contested enterprise AI realm.
In collaboration with Accenture, HPE is advancing agentic AI adoption in the financial services and procurement sectors through a new joint go-to-market offering that combines HPE Private Cloud AI with the Accenture AI Refinery, built on NVIDIA AI Enterprise. HPE is leveraging this solution internally to optimize its finance operations, focusing on areas like category and sourcing strategies, spend management, strategic relationship analysis, and contract obligation management. By targeting one of the most heavily regulated industries, this partnership aims to simplify AI implementation, accelerate digital transformation, and unlock new opportunities for innovation and compliance in financial services.
I discern that advancing agentic AI adoption in financial services and procurement is crucial because it enables organizations to automate complex decision-making processes, enhance operational efficiency, and drive innovation in highly regulated environments. Agentic AI, capable of autonomously executing tasks like spend management, contract analysis, and strategic sourcing, streamlines workflows, reduces human error, and accelerates time-to-value. In financial services, it can support compliance with stringent regulations while unlocking insights from vast datasets for better risk management and customer personalization.
HPE Services and HPE Financial Services Come the AI Forefront
HPE Services plays a pivotal role in simplifying and accelerating the AI adoption process, enabling enterprises to achieve faster time to value through comprehensive support across the AI lifecycle. From initial design and financing to building, securing, and operating AI factories, HPE’s new services ensure efficient and sustainable outcomes from Day -1 through Day 2+ operations. These offerings include model development, migration, business benefit analysis, deployment, education, ongoing management, support, and technology refresh, empowering customers to navigate complex AI implementations with reduced operational burdens and enhanced focus on strategic goals.
HPE Financial Services (HPEFS) further accelerates AI adoption by providing flexible financing solutions that lower the barriers to initiating AI projects. A new program offers reduced payments for HPE Private Cloud AI during the first six months, enabling enterprises to kickstart their AI journey sooner. Additionally, HPEFS provides a customizable suite of financing and IT lifecycle services, including a unique program that allows customers to leverage their existing technology assets as capital to fund new AI initiatives, ensuring organizations can scale their AI investments efficiently and align with evolving business needs.
From my viewpoint, professional services and financial services are essential to enterprise AI implementations because they provide the expertise, infrastructure, and regulatory alignment needed to navigate the complexity of AI at scale. As such, HPE Services can help organizations design AI strategies, manage change, and ensure governance across people, processes, and technologies. Meanwhile, HPEFS contributes the capital investment, risk modeling, and compliance frameworks that allow businesses to deploy AI responsibly and sustainably. Together, they form the backbone of scalable and ethical AI transformation.
Looking Ahead
Overall, I believe generative, agentic, and physical AI hold the immense potential to transform global productivity and drive profound societal change, but their success hinges on robust infrastructure and high-quality data. To seize the AI opportunity, organizations require the right data, intelligence, and strategic vision, making a solid IT foundation critical. I find that HPE and NVIDIA provide the most comprehensive solution by combining AI infrastructure and services, empowering enterprises to achieve their AI ambitions and delivering sustainable business value effectively.
The advent of a new industrial age, which is characterized by the capacity to produce intelligence on a massive scale. The HPE NVIDIA alliance is collaborating to provide comprehensive AI factory infrastructure, enabling businesses to leverage their data and drive innovation with exceptional speed and accuracy, fueling this transformative era.
Ron Westfall | Analyst In Residence
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.