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Hewlett Packard Enterprise introduces new enterprise AI solutions with NVIDIA

Hewlett Packard Enterprise introduces new enterprise AI solutions with NVIDIA

  • 24.03.2025 07:49
  • zawya.com
  • Keywords: AI

Hewlett Packard Enterprise (HPE) has partnered with NVIDIA to launch new enterprise AI solutions designed to accelerate the deployment of generative, agentic, and physical AI models. The collaboration introduces enhanced performance, security, power efficiency, and a turnkey private cloud solution for seamless AI integration.

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Estimated market influence

Hewlett Packard Enterprise

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Analyst rating: —

HPE is expanding HPE Private Cloud AI with support for the new NVIDIA AI Data Platform.

NVIDIA

NVIDIA

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Analyst rating: Strong buy

NVIDIA AI Computing by HPE unveils new enterprise AI solutions with enhanced performance, power efficiency, security, and new capabilities for a full-stack, turnkey private cloud for AI.

Context

Analysis of HPE's New Enterprise AI Solutions with NVIDIA

Overview

  • Collaboration: HPE and NVIDIA announced new enterprise AI solutions aimed at accelerating time-to-value for generative, agentic, and physical AI.
  • Focus: Enhanced performance, security, power efficiency, and a full-stack private cloud solution for AI.

Key Solutions and Features

1. HPE Private Cloud AI Expansion

  • NVIDIA AI Data Platform Integration: Combines HPE's private cloud with NVIDIA's data platform for faster AI value extraction.
  • Self-Service Cloud Experience: Enabled by HPE GreenLake, offering a turnkey approach for agentic data and applications.

2. New Developer System

  • 32TB Integrated Storage: A new developer system provides an instant AI development environment with NVIDIA acceleration.
  • Continuous Data Processing: Leverages NVIDIA's accelerated computing, networking, AI software, and enterprise storage.

3. Unified Edge-to-Cloud Data Access

  • HPE Data Fabric Software: Provides seamless data access across hybrid cloud environments for optimized AI model performance.

4. Pre-Validated Blueprints

  • NVIDIA Blueprints Support: Includes Multimodal PDF Data Extraction and Digital Twins Blueprints for faster deployment.
  • Increased Performance: Simplifies complex AI workloads with pre-validated solutions.

5. AI-Native Observability

  • HPE OpsRamp GPU Optimization: Offers full-stack observability for managing AI training and inference workloads.
  • Proactive Troubleshooting: Combines HPE Complete Care Service with NVIDIA GPU optimization capabilities.

New Agentic AI Use Cases

1. Deloitte's Zora AI

  • Deployment on HPE Private Cloud AI: A joint solution for financial statement analysis, scenario modeling, and market analysis.
  • First Customer: HPE will be the first to deploy this agentic AI platform.

2. CrewAI Multi-Agent Automation

  • Enterprise Integration: Combines with HPE Private Cloud AI for secure deployment and scaling of agent-driven automations.

3. Professional Services

  • Agentic AI Models: New services leverage NVIDIA NeMo and NVIDIA NIM microservices to build and deploy agentic AI models.

New AI Servers with NVIDIA Blackwell Architecture

1. NVIDIA GB300 NVL72 by HPE

  • Trillion Parameter Models: Supports large, complex AI clusters for training and reasoning applications.
  • Liquid Cooling Expertise: HPE's expertise ensures efficient cooling for high-performance AI workloads.

2. HPE ProLiant Compute XD Servers

  • NVIDIA HGX B300 Platform: Designed for training and fine-tuning large AI models, including agentic AI.

3. HPE ProLiant Compute DL384b Gen12

  • NVIDIA GB200 Grace Blackwell NVL4 Superchip: Supports converged HPC and AI workloads like GNN training and inference.

4. HPE ProLiant Compute DL380a Gen12

  • NVIDIA RTX™ PRO 6000 Blackwell Server Edition: Delivers breakthrough performance for enterprise AI inferencing and visual computing.

Modular Data Centers for AI

1. AI Mod POD

  • Performance-Oriented Design: Supports up to 1.5MW per module with adaptive cooling technology.
  • Hybrid Cooling System: Combines air and liquid cooling for energy-intensive workloads.

2. Liquid Cooling Expertise

  • Five Decades of Experience: HPE has delivered eight of the top 15 most energy-efficient supercomputers (Green500 list).

Security Enhancements

1. HPE iLO and Gen12 Servers

  • Silicon Root of Trust: Industry-leading security with a dedicated secure enclave for firmware protection.
  • Post-Quantum Cryptography: Meets FIPS 140-3 Level 3 certification requirements.

Availability Timeline

  • HPE Private Cloud AI Developer System: Q2 2025
  • HPE Data Fabric: Q3 2025
  • NVIDIA GB300 NVL72 and HPE ProLiant Compute XD: H2 2025
  • HPE ProLiant Compute DL384b Gen12: Q4 2025
  • HPE ProLiant Compute DL380a Gen12: Q3 2025
  • Additional NVIDIA Blueprints: Q2 2025
  • HPE OpsRamp GPU Optimization and AI Mod POD: Available immediately.

Market Implications

1. Competitive Dynamics

  • Strengthened Partnership: HPE and NVIDIA collaboration solidifies their positions in the AI infrastructure market.
  • Ecosystem Expansion: Integrations with Deloitte, CrewAI, and other partners highlight a comprehensive approach to agentic AI.

2. Strategic Considerations

  • Focus on Security: Emphasis on enterprise-grade security addresses critical concerns for large-scale AI adoption.
  • Modular Infrastructure: Scalable solutions cater to enterprises of all sizes, from startups to global corporations.

3. Long-Term Effects

  • AI Democratization: Streamlined solutions lower barriers to entry for widespread AI adoption.
  • Regulatory Impact: Enhanced security features align with growing regulatory demands for data protection and compliance.

Conclusion

HPE's new enterprise AI solutions with NVIDIA represent a significant leap forward in AI infrastructure, offering enhanced performance, scalability, and security. The collaboration underscores the importance of partnerships in driving innovation in AI, while addressing critical challenges such as power efficiency and data management. These solutions are poised to shape the future of enterprise AI adoption and transformation.