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By Asma Adhimi
Hewlett Packard Enterprise (HPE) has unveiled a major expansion of its AI portfolio aimed at helping enterprises move agentic AI from experimentation into full-scale production. Announced at HPE Discover 2026 in Las Vegas, the new offerings enhance the HPE AI Factory with NVIDIA and introduce new capabilities focused on security, governance, scalability, and AI sovereignty.
The announcement reflects a growing industry focus on deploying autonomous AI agents in real-world business environments, where enterprises must manage security, compliance, and infrastructure costs alongside performance. For eeNews Europe readers, the news highlights how leading infrastructure vendors are evolving data center architectures to support the next generation of AI workloads while addressing concerns around governance and operational control.
HPE and NVIDIA are positioning their latest technologies as the infrastructure backbone for agentic AI, where software agents can reason, collaborate, and automate business processes with limited human intervention.
“As AI becomes more autonomous, organizations need a new architecture to run it securely, govern it responsibly, and scale it economically,” said Antonio Neri, president and CEO, HPE. “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 founder and CEO Jensen Huang added: “Every layer of the computing stack is being reinvented for the age of AI agents. 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.”
A key component is the latest version of HPE Private Cloud AI, developed jointly with NVIDIA. The platform now incorporates NVIDIA Agent Toolkit software, including Nemotron models, NemoClaw, and the OpenShell secure runtime. Together, these technologies provide monitoring, policy enforcement, and governance functions designed to support enterprise deployment of AI agents.
HPE is also targeting one of the most pressing challenges in AI deployment: the cost and efficiency of inference.
The company says its HPE Alletra Storage MP X10000 can automatically apply metadata and governance policies to unstructured data, helping prepare datasets for AI applications while significantly reducing response times. New AI pipeline capabilities are intended to improve prompt processing efficiency and increase token throughput, helping organizations optimize GPU utilization and control operating costs.
Additional enhancements include support for multi-node inferencing across up to 256 GPUs, a unified model gateway for managed access to frontier AI models, and fine-tuning capabilities through NVIDIA NeMo.
Security and sovereignty remain major concerns for enterprises deploying AI at scale. To address this, HPE is integrating NVIDIA Confidential Computing into the HPE AI Factory architecture. The technology uses cryptographic attestation and encryption to protect models and sensitive data during execution, helping organizations meet regulatory and regional compliance requirements.
The expanded AI Factory portfolio will also support NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, Spectrum-X Ethernet, BlueField-3 DPUs, and ConnectX-8 SuperNICs.
HPE will launch several new HPE Private Cloud AI features in July 2026, followed by additional agentic AI, storage, and security capabilities through late 2026 and into 2027. The announcement signals HPE’s intent to strengthen its position in the rapidly evolving enterprise AI infrastructure market as organizations seek practical paths toward deploying autonomous AI systems at scale.
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