Hewlett Packard Enterprise (HPE) has announced a major expansion of its NVIDIA AI Computing portfolio, introducing new infrastructure, solutions, and services designed to help enterprises deploy and scale artificial intelligence more efficiently and securely. The move strengthens HPE’s collaboration with NVIDIA, focusing on delivering integrated, production-ready AI systems that address enterprise demands for scalability, governance, and performance.

Antonio Neri, President and CEO of HPE, emphasized that the race to adopt AI is driven by speed, scale, and trust. He noted that HPE’s capabilities across cloud, networking, and AI enable organizations to operationalize AI securely while achieving faster time to value. NVIDIA CEO Jensen Huang added that the partnership is setting new standards for enterprise AI infrastructure, describing the joint effort as building “AI factories” and “AI grids” to embed intelligence across business workflows.

A key highlight of the announcement is the enhancement of HPE Private Cloud AI, a turnkey AI platform co-engineered with NVIDIA. The updated offering introduces improved scalability, allowing deployments to support up to 128 GPUs, enabling enterprises to handle larger and more complex AI workloads.

To address growing concerns around data sovereignty and security, HPE is also introducing air-gapped configurations for Private Cloud AI. These fully isolated environments ensure that sensitive data remains disconnected from external networks, making them suitable for regulated industries and government use cases.

HPE is further strengthening security through integrations with Fortanix Confidential AI and CrowdStrike, enabling confidential computing and AI-driven threat detection. These capabilities help protect AI models, infrastructure, and autonomous agents operating within enterprise environments.

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The platform also incorporates the latest NVIDIA AI Enterprise software, including updated blueprints for AI agents and digital twins. Support for NVIDIA Nemotron models and Blackwell GPUs enhances performance and simplifies the deployment of secure, production-ready AI systems.

HPE is expanding its portfolio with new AI solutions tailored for sectors such as retail, healthcare research, and manufacturing. These solutions combine HPE ProLiant servers with NVIDIA accelerated computing, networking, and AI software to support use cases like:

  • Autonomous edge intelligence

  • Retail shopping assistants

  • Video analytics and summarization

  • Biomedical research

Additionally, HPE is introducing new GPU options, including the NVIDIA RTX PRO 4500 Blackwell Server Edition, optimized for edge deployments, data analytics, and smaller AI models.

At NVIDIA GTC 2026, HPE also unveiled advancements in AI networking, including solutions built on HPE Juniper Networking technologies. These innovations aim to connect distributed AI environments across enterprises, service providers, and sovereign deployments.

Recognizing that data pipelines are critical to AI performance, HPE is enhancing its storage platform, HPE Alletra MP X10000, to improve how data is processed and delivered to AI systems. The platform has achieved NVIDIA-Certified Storage validation, confirming its ability to efficiently support large-scale GPU workloads and accelerate model training and inference.

To further support organizations, HPE introduced new services and financing options. These include an AI agents hub to help businesses adopt and manage intelligent agents, as well as a multi-tenant AI factory blueprint developed with Protopia AI for secure data usage in regulated environments. HPE Financial Services also launched a 90/9 Advantage financing program, allowing customers to delay payments for 90 days followed by reduced monthly payments, making it easier for enterprises to invest in AI and modernization initiatives.

The expanded partnership between HPE and NVIDIA reflects a broader shift in enterprise IT strategy, where AI is becoming a foundational capability rather than an experimental tool. By combining scalable infrastructure, advanced security, and integrated software, HPE aims to provide organizations with a complete ecosystem for building and operating AI at scale. As businesses increasingly embed AI into core operations, solutions like HPE Private Cloud AI and AI factory architectures are expected to play a central role in enabling secure, efficient, and large-scale AI adoption.

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