HPE expands AI factory platform with new NVIDIA integrations

HPE has introduced new AI products and features with NVIDIA to help organisations put agentic AI into production. The update centres on HPE Private Cloud AI and the HPE AI Factory with NVIDIA.

The additions focus on security, governance and control as businesses look to move beyond AI pilots and run more autonomous systems in live environments. The package includes updates to computing, storage, data management and security software, along with new NVIDIA hardware and software integrations.

Agentic AI refers to systems that can act with a degree of autonomy rather than simply respond to prompts. Customers are seeking ways to deploy these systems with stronger oversight, particularly when they handle sensitive data and support business processes at scale.

At the centre of the announcement is HPE Private Cloud AI, a turnkey AI factory product developed with NVIDIA. New functions include support for NVIDIA Agent Toolkit software, including NVIDIA Nemotron open models, NVIDIA NemoClaw and the NVIDIA OpenShell secure runtime. These tools are intended to help customers monitor agent behaviour, apply policies and limit deployment risks.

The product is also adding support for HPE ProLiant Compute DL394 Gen12 with NVIDIA Vera CPU. The system is designed to provide a compute base for agentic AI workloads and data processing, with built-in security and management features.

Control and recovery

Another element of the update is HPE Zerto Software. New functions will let customers detect rogue agent actions and use continuous data protection to restore systems to an earlier clean state.

Local registration for AI agents is also being added, giving customers the option to approve models, tools and skills under central governance and security policies. The approach is intended to address concerns about how AI agents are introduced into production systems and how their actions are supervised once deployed.

Antonio Neri, President and Chief Executive Officer, HPE, set out the company's position on the shift. "As AI becomes more autonomous, organisations need a new architecture to run it securely, govern it responsibly, and scale it economically," said Neri. "Across networking, servers, storage and software, HPE is delivering full-stack AI solutions with NVIDIA that build the foundation for agentic enterprises, helping customers move from experimentation to production with control and confidence."

NVIDIA framed the partnership as part of a broader redesign of computing infrastructure for AI systems that can act more independently.

"Every layer of the computing stack is being reinvented for the age of AI agents," said Jensen Huang, Founder and Chief Executive Officer, NVIDIA. "Together with HPE, we are building AI factories for this new era of computing - powered by NVIDIA Vera CPUs, accelerated infrastructure, and secure AI software - to help enterprises transform their data into intelligent action."

Data pipeline

HPE also used the announcement to highlight data preparation and the cost of inference. It said HPE Private Cloud AI can turn unstructured data into pipelines for AI use and improve efficiency in the way prompts and tokens are processed.

Built-in intelligence in HPE Alletra Storage MP X10000 can automatically apply metadata and governance policies to prepare data for AI applications. HPE said this can cut token response times by up to 20 times, while prompt processing efficiency can increase token throughput by up to 20%.

HPE Data Fabric Software is also being expanded to support agentic workflows. Support for model context protocol is being extended to Apache Airflow, and an enterprise AI inventory is being added to enrich distributed data with metadata. A standalone HPE Data Fabric appliance on HPE ProLiant Compute servers is intended to simplify deployment.

The updates also include a unified model gateway for governed access to frontier models, workload prioritisation and multi-node inferencing for systems of up to 256 GPUs. Customers will also be able to fine-tune pre-trained models, including NVIDIA Nemotron open models, through NVIDIA NeMo with secure access to enterprise data.

Sovereign focus

Beyond private cloud deployments, HPE is extending the HPE AI Factory at-scale and HPE Sovereign AI Factory with added security functions. A key part of that is NVIDIA Confidential Computing, which HPE plans to integrate through HPE Services for on-premises and sovereign deployments.

HPE said the confidential computing approach is designed to protect models and private data during execution through cryptographic attestation and encryption across hardware, software and datasets. This is intended to support compliance with regional and industry standards.

Zero-trust controls are also part of the package. HPE said NVIDIA BlueField and NVIDIA DOCA will be used across the AI Factory to provide policy enforcement, runtime threat detection and encryption for networking tied to AI workloads, agents and data.

HPE also said its AI Factory offerings will be available with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA Spectrum-X Ethernet, NVIDIA BlueField-3 DPUs and NVIDIA ConnectX-8 SuperNICs. The broader stack is based on NVIDIA reference architectures and supports a range of use cases from development through to production deployments at scale.

Chris Weber, Vice President and Managing Director, South Pacific, HPE, said demand in Australia and New Zealand is shifting toward more practical uses of autonomous AI. "The shift to agentic AI is becoming a priority for organisations across Australia and New Zealand as they look to unlock greater value from their data and automate more complex processes," said Weber. "HPE's AI factory approach enables customers to operationalise agentic AI in a way that is scalable, efficient and ready for enterprise use."