Product Description
Overview
- Do you require higher performance for artificial intelligence (AI) training and inference, high-performance computing (HPC) or graphics? NVIDIA® Accelerators for HPE help solve the world’s most important scientific, industrial, and business challenges with AI and HPC. Visualize complex content to create cutting-edge products, tell immersive stories, and reimagine cities of the future. Extract new insights from massive datasets. Hewlett Packard Enterprise servers with NVIDIA accelerators are designed for the age of elastic computing, providing unmatched acceleration at every scale.
Features
- Integrated Lights-Out (iLO) is an embedded technology that helps simplify server and accelerator set up, health monitoring, power, and thermal control, utilizing HPE's Silicon Root of Trust.
- HPE iLO server management software enables you to securely configure, monitor, and update your NVIDIA Accelerators for HPE seamlessly, from anywhere in the world.
- NVIDIA Accelerators for HPE improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.
- Get real-time inference for computer vision, natural language processing, fraud detection, predictive maintenance, and medical imaging with NVIDIA accelerators and HPE ProLiant Compute Servers.
- Build new AI models with supervised or unsupervised training for generative AI, computer vision, large language models, scientific discovery, and financial market modeling with NVIDIA accelerators and HPE Cray systems.
- NVIDIA Certified HPE servers are tested to validate both multi-GPU and multi-node performance for a diverse set of workloads to deliver excellent application performance, manageability, security, and scalability.
- NVIDIA Accelerators for HPE undergo thermal, mechanical, power, and signal integrity qualification to validate that the accelerator is fully functional in the server. NVIDIA Qualified configurations are supported for production use.
Product Videos
Specifications
| Spec | Description |
|---|---|
| Quickspec Date | 31 |
| QuickSpecs Date | 10/31/2028 12:00:00 AM; 12/02/2019 12:00:00 AM |
| QuickSpecs (PDF) | https://www.hpe.com/h20195/v2/GetDocument.aspx?docname=c04123180 |
| QuickSpecs (HTML) | https://www.hpe.com/h20195/v2/gethtml.aspx?docname=c04123180 |
| Trademark information | NVIDIA is a trademark and/or registered trademark of NVIDIA Corporation in the U.S. and other countries. All other third-party trademark(s) is/are property of their respective owner(s). |
| UNSPSC code | 43201401 |
| Weight | 0.58 kg; 1.27 lb |
| Product dimensions (H x W x D) | 19.25 x 15 x 11.5 in |
| Minimum dimensions ( H x W x D) | 48.9 x 38.1 x 29.21 cm |
| Architecture features | Deliver real-time analytics, video transcoding and inference performance and enable smart user experiences in scale out servers. |
| Cores | 2560 |
| Number of accelerators per card | 1 |
| Memory size per board | 16 GB GDDR6 |
| Memory bandwidth for board | 320 GB/s |
| Peak Double Precision Performance | 254.4 TFlops |
| Peak Single Precision Performance | 8.1 TFlops |
| System | Compatible with HPE ProLiant DL360 Gen10, DL380 Gen10, and DL385 Gen10 servers |
| Facet Product type (faceturl) | computational |
| Facet Family Brand (faceturl) | nvidia |
| Facet Platform Supported (faceturl) | hpe-proliant-rack-tower-bladesystem-servers-synergy |
| Facet Product type (facet) | Computational |
| Facet Family Brand (facet) | NVIDIA |
| Facet Platform Supported (facet) | HPE ProLiant Rack/Tower/BladeSystem Servers/Synergy |
| IsModified | 0 |