Hewlett Packard Enterprise (HPE) and NVIDIA have introduced a new suite of enterprise AI solutions designed to accelerate the time to value for organizations adopting generative, agentic, and physical AI applications. Under the NVIDIA AI Computing by HPE portfolio, these solutions offer enterprises a turnkey private cloud AI experience with cutting-edge performance, improved security, and scalable infrastructure.
As the AI landscape continues to evolve, companies are faced with the challenge of efficiently deploying and managing complex AI workloads. The HPE-NVIDIA collaboration aims to address this by streamlining AI adoption across industries, empowering enterprises to build and run AI models with greater speed and reliability.
Accelerating AI with HPE Private Cloud AI and NVIDIA AI Data Platform
At the core of this launch is the HPE Private Cloud AI, now enhanced with the integration of the NVIDIA AI Data Platform. This integration offers a unified, end-to-end AI development environment designed for efficient model training, tuning, and deployment.
Key Features of HPE Private Cloud AI:
- Self-Service AI Studio: Provides a development space powered by NVIDIA’s GPUs for building, training, and fine-tuning AI models.
- Unified Data Management: HPE Data Fabric Software creates a data lakehouse, ensuring structured and unstructured data is accessible across edge-to-cloud environments.
- Pre-Validated AI Model Blueprints: Supports rapid deployment using NVIDIA AI-Q Blueprints and NIM microservices, including models like Llama Nemotron for generative AI applications.
- Instant AI Development Environment: A new developer system with 32TB of integrated storage provides AI researchers and data scientists immediate access to AI model development resources.
The seamless integration of NVIDIA’s accelerated computing, enterprise storage, and AI software with HPE’s cloud infrastructure significantly reduces deployment times, making AI adoption faster and more efficient for enterprises of all sizes.
Boosting AI Performance with HPE OpsRamp and GPU Optimization
HPE is also enhancing its HPE OpsRamp platform by introducing GPU optimization capabilities. This new feature delivers AI-native observability to monitor and manage large-scale AI workloads across NVIDIA GPU clusters.
With real-time insights into model performance and resource utilization, IT teams can proactively address bottlenecks, reduce downtime, and ensure optimal performance for AI applications. The HPE Complete Care Service has also been expanded to include NVIDIA GPU optimization, offering organizations managed services to maintain peak AI efficiency.
Purpose-Built AI Servers for AI Model Training and Inference
To support the increasing demand for AI processing power, HPE and NVIDIA are introducing a range of AI servers under the NVIDIA AI Computing by HPE umbrella. These systems are designed to handle AI workloads at massive scales, providing enterprises with robust computing capabilities.
Key AI Servers Announced:
- NVIDIA GB300 NVL72 by HPE: Ideal for service providers and enterprises, this server is designed for training trillion-parameter AI models. Integrated with liquid cooling for maximum efficiency, it offers breakthrough performance for large-scale AI clusters.
- HPE ProLiant Compute XD with NVIDIA HGX B300: Optimized for enterprises handling complex AI workloads, including generative AI and reasoning-based models.
- HPE ProLiant Compute DL384b Gen12: Powered by NVIDIA’s GB200 Grace Blackwell NVL4 Superchip, it delivers exceptional performance for high-performance computing (HPC) and AI applications like scientific simulations and graph neural network (GNN) training.
- HPE ProLiant Compute DL380a Gen12: Featuring the NVIDIA RTX™ PRO 6000 Blackwell Server Edition, this server is designed for AI inference tasks, particularly for enterprises running visual AI applications.
These servers are expected to offer businesses higher energy efficiency, enhanced memory capacity, and low-latency AI performance, making them an ideal choice for industries requiring large-scale AI infrastructure.
Driving Real-World Impact with AI Use Cases
HPE’s collaboration with NVIDIA is also unlocking new agentic AI applications through strategic partnerships.
Notable AI Use Cases:
- Deloitte’s Zora AI™ on HPE Private Cloud AI: This AI-powered platform provides dynamic financial statement analysis, scenario modeling, and competitive market analysis for enterprises. HPE will be the first customer to deploy Zora AI globally.
- CrewAI for Multi-Agent Automation: CrewAI leverages agentic AI for enterprise process automation and decision-making. By integrating with HPE Private Cloud AI, enterprises can implement tailored AI-driven solutions to optimize operations.
- HPE AI Professional Services: Enterprises can now collaborate with HPE’s AI specialists to identify, develop, and deploy agentic AI solutions using NVIDIA NIM microservices and NVIDIA NeMo models.
These real-world implementations demonstrate how HPE and NVIDIA are enabling organizations to maximize AI’s potential in transforming operational processes and driving business growth.
Commitment to Sustainable AI Infrastructure
With the rise of AI adoption, energy consumption and data center cooling have become critical challenges. To address this, HPE is introducing the AI Mod POD — a modular, energy-efficient data center specifically designed for AI workloads.
AI Mod POD Features:
- Scalable Capacity: Supports up to 1.5MW per module for AI and HPC applications.
- Adaptive Cascade Cooling: Offers a hybrid air and liquid cooling system that optimizes energy usage.
- Sustainability Leadership: HPE has enabled eight of the top 15 supercomputers on the Green500 list, demonstrating its commitment to sustainable AI infrastructure.
Availability and Next Steps
HPE and NVIDIA’s new AI solutions will be available in a phased rollout throughout 2025:
- HPE Private Cloud AI Developer System: Available in Q2 2025.
- HPE Data Fabric for AI Data Management: Launching in Q3 2025.
- NVIDIA GB300 NVL72 and HPE ProLiant Compute XD Servers: Expected in H2 2025.
- HPE ProLiant Compute DL384b Gen12: Available in Q4 2025.
- HPE ProLiant Compute DL380a Gen12: Coming in Q3 2025.
- HPE OpsRamp GPU Optimization and AI Mod POD: Available today.
As enterprises continue to embrace AI, these solutions are set to accelerate innovation, streamline AI deployment, and provide companies with the tools to extract actionable insights faster than ever.
