Hewlett Packard Enterprise (HPE) and NVIDIA have announced a groundbreaking collaboration to introduce new enterprise AI solutions aimed at accelerating the time to value for generative, agentic, and physical AI.
This partnership was unveiled during NVIDIA’s GTC 2025 event.
It represents a major advancement in equipping businesses with tools to leverage the transformative power of AI.
These solutions enhance productivity, streamline operations, and unlock new revenue streams for enterprises of all sizes.
The Vision Behind the Collaboration Between HPE and NVIDIA
Antonio Neri, President and CEO of HPE, highlighted the need for a broad range of AI solutions.
He emphasized that such a portfolio is crucial to ensuring widespread adoption across enterprises.
He stated, “AI is delivering significant opportunities for enterprises and requires a portfolio of streamlined and integrated solutions to support widespread adoption.”
Jensen Huang, Founder and CEO of NVIDIA, shared similar views on the transformative potential of AI in industries.
He highlighted how AI enables enterprises to create “AI factories” to generate intelligence at scale.
Key Features of the New AI Solutions
The collaboration between HPE and NVIDIA has resulted in a suite of advanced AI solutions that cater to diverse enterprise needs. Key features include:
- HPE Private Cloud AI: This turnkey solution offers a self-service cloud experience powered by HPE GreenLake. It integrates NVIDIA’s AI Data Platform to transform data into actionable intelligence through continuous data processing. The platform supports rapid deployment of pre-validated NVIDIA blueprints, simplifying complex AI workloads.
- Enhanced Performance and Security: The solutions boast improved performance, power efficiency, and security, making them ideal for training, tuning, and inferencing AI models.
- Unified Data Access: HPE Data Fabric Software serves as the backbone of the HPE Private Cloud AI data lakehouse, ensuring seamless access to high-quality structured, unstructured, and streaming data across hybrid cloud environments.
- Developer System: A new developer system has been introduced, providing an instant AI development environment with integrated control nodes, end-to-end AI software, and 32TB of storage.
Applications and Use Cases
The new AI solutions aim to support a broad spectrum of applications across various domains. These include generative AI, agentic AI, robotics, and digital twins.
Enterprises can leverage these tools to enhance decision-making, automate processes, and create innovative products and services.
For example, the Multimodal PDF Data Extraction Blueprint and Digital Twins Blueprint enable businesses to streamline operations and improve efficiency.
These AI solutions will significantly influence a wide range of industries.
Sectors such as healthcare, finance, manufacturing, and retail are expected to see transformative impacts.
HPE and NVIDIA are offering a full-stack infrastructure designed for AI development.
This initiative helps enterprises maintain their competitive edge in a rapidly evolving, AI-driven landscape.
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