Hewlett Packard Enterprise has announced new enhancements to its AI Factory with NVIDIA, aimed at accelerating enterprise adoption of agentic AI systems with stronger governance, security, and operational control. The updates are designed to help organizations move AI from experimentation into full production environments while optimizing performance, cost, and compliance.
The expanded platform strengthens HPE’s position in building full-stack AI infrastructure, integrating compute, storage, networking, and software into a unified environment for enterprise-grade AI workloads.
Hewlett Packard Enterprise is positioning its AI Factory as the backbone for agentic enterprise transformation, where AI systems can reason, act, and collaborate autonomously within governed environments.
The company emphasizes that enterprises require a new architectural approach to safely scale AI agents in production while maintaining control over data, models, and workflows.
The enhanced AI Factory is co-engineered with NVIDIA and integrates across hardware, software, and AI services to support production-grade agentic workloads.
Key capabilities include:
The system uses NVIDIA’s agent ecosystem, including open models and runtime tools, to enable structured reasoning and controlled AI execution.
A major focus of the update is improving infrastructure efficiency for AI workloads, particularly in token processing, inference performance, and GPU utilization.
Enhancements include:
These capabilities are designed to reduce AI operational costs while improving throughput and responsiveness.
HPE is also targeting one of the biggest challenges in enterprise AI: data readiness and token efficiency.
Key improvements include:
These enhancements aim to reduce latency and cost in large-scale AI deployments.
Security is a central pillar of the updated AI Factory strategy, particularly for sovereign and regulated environments.
New capabilities include:
This framework is designed to ensure that AI systems operate securely across distributed and regulated infrastructures.
The platform further integrates next-generation NVIDIA technologies, including:
These components enable scalable, high-performance AI infrastructure for both training and inference workloads.
The overall direction of the announcement reflects a shift toward production-ready agentic AI systems, where enterprises can deploy AI agents with built-in governance, monitoring, and optimization.
Hewlett Packard Enterprise and NVIDIA are jointly positioning the AI Factory as a standardized architecture for scaling enterprise AI from pilot projects to fully operational systems.
Key components of the expanded AI Factory will roll out between 2026 and 2027, with certain NVIDIA hardware integrations already available.
Hewlett Packard Enterprise is an enterprise technology company focused on AI, cloud, and networking solutions that help organizations transform data into actionable intelligence and improve operational performance.
This expansion reinforces the broader industry trend toward governed, full-stack AI platforms, where enterprises increasingly rely on integrated infrastructure to safely deploy autonomous AI systems at scale.
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