• Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
Thursday, June 4, 2026
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io
No Result
View All Result
Converge Digest
No Result
View All Result

Home » HPE teams with NVIDIA on Private-Cloud AI 

HPE teams with NVIDIA on Private-Cloud AI 

June 18, 2024
in Enterprise
A A

HPE and NVIDIA have co-developed the Private Cloud AI portfolio to enhance innovation, return on investment, and manage enterprise AI risks. This portfolio supports a range of AI workloads and offers robust enterprise controls, cloud experiences, and flexible consumption models. The curated AI and data software stack is built on NVIDIA AI Enterprise and includes HPE AI Essentials software for adaptable and compliant AI solutions. The portfolio integrates NVIDIA’s advanced computing technologies and HPE’s infrastructure and cloud services for optimal performance and manageability across hybrid environments.

The announcement, which occured during the HPE Discover keynote by HPE President and CEO Antonio Neri, who was joined by NVIDIA founder and CEO Jensen Huang, marks the the expansion of a long-running partnership between the firms.

Product Highlights

HPE Private Cloud AI

  • Inference, Fine-Tuning, and RAG AI Workloads: Supports proprietary data utilization.
  • Enterprise Control: Ensures data privacy, security, transparency, and governance.
  • Cloud Experience: Provides ITOps and AIOps capabilities for increased productivity.
  • Flexible Consumption: Adapts to future AI opportunities and growth.

Curated AI and Data Software Stack

  • NVIDIA AI Enterprise: Accelerates data science pipelines and streamlines AI application development.
  • NVIDIA NIM Microservices: Optimizes AI model inferencing for smooth transitions from prototype to deployment.
  • HPE AI Essentials: Offers ready-to-run AI and data foundation tools with a unified control plane for adaptable solutions and enterprise support.

Integrated AI Infrastructure Stack

  • NVIDIA Spectrum-X Ethernet Networking
  • HPE GreenLake for File Storage
  • HPE ProLiant Servers: Supports NVIDIA L40S, H100 NVL Tensor Core GPUs, and GH200 NVL2 platform.

HPE GreenLake Cloud Experience

  • Self-Service Cloud: Enabled by HPE GreenLake cloud, offering manageability and observability across hybrid environments with sustainability metrics.

OpsRamp AI Infrastructure Observability

  • End-to-End NVIDIA Stack Support: Provides insights for anomaly detection and AI infrastructure monitoring.
  • Operations Copilot: Utilizes NVIDIA’s platform for data analysis and productivity enhancement in operations management.

Global System Integrator Collaboration

  • Accelerated AI Solutions: Deloitte, HCLTech, Infosys, TCS, and WIPRO support the NVIDIA AI Computing by HPE portfolio for industry-focused AI solutions.

Support for NVIDIA’s Latest GPUs and CPUs

  • HPE Cray XD670: Supports eight NVIDIA H200 NVL Tensor Core GPUs for LLM builders.
  • HPE ProLiant DL384 Gen12: Equipped with NVIDIA GH200 NVL2 for larger models and RAG consumers.
  • HPE ProLiant DL380a Gen12: Supports up to eight NVIDIA H200 NVL Tensor Core GPUs for flexible scaling of GenAI workloads.
  • Future Support: Includes NVIDIA GB200 NVL72 / NVL2 and new NVIDIA architectures (Blackwell, Rubin, Vera).

High-Density File Storage

  • NVIDIA DGX BasePOD Certification: Provides enterprise file storage solutions for AI and GPU-intensive workloads.
  • Upcoming Certifications: HPE will partner on new NVIDIA reference architecture storage certifications.

Availability

  • HPE Private Cloud AI: Expected in the fall.
  • HPE ProLiant DL380a Gen12 and DL384 Gen12 Servers: Available in the fall.
  • HPE Cray XD670 Server: Available in the summer.’

Tags: HPENvidia
ShareTweetShareSummarizeSummarize
Previous Post

Dell’Oro: Accelerated Servers accounted for over 50% of server sales

Next Post

Vantage Data Centers completes $9.2B equity investment

Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

Related Posts

Vera Rubin Cluster
AI Infrastructure

NVIDIA Vera Rubin Enters Full Production 

May 31, 2026
All

NVIDIA Adds In-Silicon Security to Vera BlueField-4 STX 

May 31, 2026
Financials

NVIDIA Networking Revenue Jumps 199%

May 20, 2026
Data Centers

NVIDIA’s New GPU Fleet Intelligence Platform 

May 13, 2026
Data Centers

NVIDIA and IREN Partner on 5GW Global AI Factory Buildout

May 7, 2026
Optical

NVIDIA and Corning Launch Massive U.S. AI Optics Manufacturing Push 

May 6, 2026
Next Post

Microsoft opens data center region in Madrid

Categories

  • 5G / 6G / Wi-Fi
  • AI Infrastructure
  • All
  • Automotive Networking
  • Blueprints
  • Clouds and Carriers
  • Data Centers
  • Enterprise
  • Explainer
  • Feature
  • Financials
  • Last Mile / Middle Mile
  • Legal / Regulatory
  • Optical
  • Quantum
  • Research
  • Security
  • Semiconductors
  • Space
  • Start-ups
  • Subsea
  • Sustainability
  • Video
  • Webinars

Archives

Tags

5G All AT&T Australia AWS Blueprint columns BroadbandWireless Broadcom China Ciena Cisco Data Centers Dell'Oro Ericsson FCC Financial Financials Huawei Infinera Intel Japan Juniper Last Mile Last Mille LTE Mergers and Acquisitions Mobile NFV Nokia Optical Packet Systems PacketVoice People Regulatory Satellite SDN Service Providers Silicon Silicon Valley StandardsWatch Storage TTP UK Verizon Wi-Fi
Converge Digest

A private dossier for networking and telecoms

Follow Us

  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

No Result
View All Result
  • Home
  • About
  • Events Calendar
  • Blueprint Guidelines
  • Privacy Policy
  • Manage Email Delivery
  • NextGenInfra.io

© 2026 Converge Digest - A private dossier for networking and telecoms.

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.
Go to mobile version