Hewlett Packard Enterprise (HPE) has announced a major expansion of its AI computing portfolio in collaboration with NVIDIA, introducing new systems, software, and services designed to help enterprises deploy and scale artificial intelligence with greater speed, security, and efficiency.
The announcement, made at NVIDIA GTC 2026, highlights advancements across AI servers, storage, networking, and integrated solutions. The expanded portfolio leverages NVIDIA’s latest Blackwell and Rubin architectures to deliver production-ready AI infrastructure capable of handling demanding workloads.
HPE President and CEO Antonio Neri stated that the evolution of AI adoption depends on three critical factors: speed, scale, and trust. He noted that the company’s combined strengths in cloud computing, networking, and AI enable organizations to operationalize AI securely while achieving measurable business outcomes.
NVIDIA Founder and CEO Jensen Huang emphasized the importance of building foundational infrastructure for enterprise AI. He described the collaboration as a step toward creating “AI factories” and “AI grids” that integrate intelligence into everyday business processes.
A key component of the announcement is the expansion of HPE Private Cloud AI, a turnkey solution co-developed with NVIDIA. The platform is designed to simplify deployment and management of AI workloads, offering enhanced scalability and performance for enterprise applications. Organizations across industries are already using this solution to accelerate AI-driven transformation initiatives.
HPE also introduced new multi-workload solutions tailored for diverse use cases, including autonomous edge intelligence, retail assistance, video analytics, and biomedical research. These solutions combine HPE ProLiant servers with NVIDIA’s accelerated computing, networking technologies, and AI software stack, providing a unified architecture for deploying complex AI applications.
To support edge and data-intensive workloads, HPE is integrating NVIDIA RTX PRO 4500 and 6000 Blackwell Server Edition GPUs into its server portfolio. These additions enable efficient processing for applications such as small-language models, data analytics, and vector databases, while also supporting advanced retail and enterprise use cases.
In networking, HPE unveiled new solutions aimed at connecting distributed AI environments. These innovations are designed for service providers, governments, and large enterprises seeking to manage AI deployments across multiple locations. The company also announced next-generation systems built on NVIDIA’s Vera Rubin architecture, capable of supporting large-scale AI operations.
On the data front, HPE is enhancing its storage capabilities to address performance bottlenecks in AI pipelines. The HPE Alletra Storage MP X10000 has become the first object-based platform to achieve NVIDIA-Certified Storage validation. This certification confirms its ability to deliver the performance, reliability, and scalability required for high-intensity AI workloads, including training and inference.
HPE is also working with NVIDIA to optimize the entire AI data lifecycle, from ingestion to processing and recovery. Future developments will include support for NVIDIA’s rack-scale architecture, enabling more advanced storage solutions integrated with accelerated computing and networking technologies.
The company outlined a rollout timeline for its new offerings, with GPU integrations and expanded server support expected through 2026. Additional features, including secure AI blueprints and enhanced deployment options, are planned in phases throughout the year.
HPE continues to position itself as a leader in enterprise technology by combining AI, cloud, and networking capabilities. The expanded collaboration with NVIDIA reflects a shared commitment to enabling organizations to harness AI effectively, transforming data into actionable insights and driving innovation across industries.
