Hewlett Packard Enterprise Introduces New Enterprise AI Solutions with NVIDIA to Accelerate Time to Value for Generative, Agentic and Physical AI
At NVIDIA GTC 2025, Hewlett Packard Enterprise (HPE) and NVIDIA unveiled new enterprise AI solutions. These innovations, launched under NVIDIA AI Computing by HPE, aim to accelerate AI adoption. They provide businesses with faster training, tuning, and inferencing while ensuring security and efficiency.
Accelerating AI Adoption with Integrated Solutions
AI is transforming industries, yet enterprises need integrated solutions to maximize its benefits. To address this, HPE and NVIDIA have introduced a comprehensive AI portfolio.
Antonio Neri, president and CEO of HPE, emphasized that AI adoption requires seamless solutions. He noted that this collaboration enhances productivity and opens new revenue opportunities.
Jensen Huang, CEO of NVIDIA, highlighted AI’s increasing role in business. He explained that companies are racing to build AI infrastructure. Through this partnership, HPE and NVIDIA deliver a full-stack AI platform that supports generative AI, robotics, and digital twins.
HPE Private Cloud AI: A Streamlined AI Solution
HPE Private Cloud AI now integrates the NVIDIA AI Data Platform. As a result, enterprises can process data more efficiently and gain faster insights.
Notable updates include:
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HPE Private Cloud AI Developer System – This new system provides an instant AI development environment. It includes NVIDIA’s accelerated computing, an integrated control node, AI software, and 32TB of storage.
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Seamless Edge-to-Cloud Data Access – The HPE Data Fabric Software ensures structured, unstructured, and streaming data is always optimized for AI models.
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Pre-Validated NVIDIA Blueprints – Companies can now quickly deploy AI models using NVIDIA’s pre-validated blueprints. These include the Multimodal PDF Data Extraction Blueprint and the Digital Twins Blueprint.
Enhanced AI Observability with HPE OpsRamp
HPE OpsRamp now offers GPU optimization, improving performance monitoring for AI workloads. These capabilities provide full-stack visibility across large NVIDIA computing clusters.
Additionally, HPE has introduced an AI lifecycle management service. It combines HPE Complete Care Service with NVIDIA GPU optimization. This helps IT teams monitor and troubleshoot AI deployments across hybrid environments.
Expanding AI Capabilities with New Solutions
HPE and NVIDIA are also enabling new AI-driven use cases.
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Zora AI by Deloitte – This finance-focused AI solution, deployed on HPE Private Cloud AI, enhances financial statement analysis, scenario modeling, and market research.
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CrewAI for Multi-Agent Automation – CrewAI allows enterprises to automate decision-making and operations securely.
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HPE Agentic AI Services – HPE now offers professional services to help businesses design and deploy AI models using NVIDIA NeMo and NIM microservices.
Next-Generation AI Servers Powered by NVIDIA Blackwell
HPE’s new AI servers feature NVIDIA Blackwell Ultra and Blackwell Architecture. These servers deliver high performance for AI training and inferencing.
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NVIDIA GB300 NVL72 by HPE – This model supports large-scale AI training, with HPE’s liquid cooling ensuring peak efficiency.
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HPE ProLiant Compute XD Servers – Designed for complex AI workloads, including reasoning-based inference.
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HPE ProLiant Compute DL384b Gen12 – Integrated with NVIDIA GB200 Grace Blackwell NVL4 Superchip, it supports AI-driven scientific computing.
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HPE ProLiant Compute DL380a Gen12 – Featuring the NVIDIA RTX PRO 6000 Blackwell Server Edition, it enhances AI inferencing and visual computing.
Secure and Power-Efficient AI Infrastructure
Security remains a top priority. HPE ProLiant Gen12 servers include HPE iLO’s silicon root of trust. This safeguards firmware from attacks and ensures compliance with FIPS 140-3 Level 3 cryptographic standards.
HPE is also advancing AI data centers with:
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Liquid Cooling Expertise – With 50 years of liquid cooling innovation, HPE helps enterprises manage power-intensive AI workloads efficiently.
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Modular AI Data Centers – The HPE AI Mod POD is a high-performance, cost-effective data center designed for AI and HPC workloads. It supports up to 1.5MW per module and integrates Adaptive Cascade Cooling for optimal energy efficiency.
Availability Timeline
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HPE Private Cloud AI Developer System – Q2 2025
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HPE Data Fabric for Private Cloud AI – Q3 2025
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NVIDIA GB300 NVL72 by HPE & HPE ProLiant Compute XD – H2 2025
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HPE ProLiant Compute DL384b Gen12 with NVIDIA GB200 NVL4 – Q4 2025
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HPE ProLiant Compute DL380a Gen12 with NVIDIA RTX PRO 6000 Blackwell Server Edition – Q3 2025
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NVIDIA AI Blueprints (Multimodal PDF Data Extraction & Digital Twins) – Q2 2025
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HPE OpsRamp GPU Optimization & AI Mod POD – Available Now
Final Thoughts
HPE and NVIDIA’s latest AI solutions empower businesses with advanced performance, security, and efficiency. With faster AI model deployments, enhanced data processing, and next-generation infrastructure, enterprises can accelerate innovation and stay competitive.
