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
- NVIDIA Accelerators for HPE improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.
- HPE iLO server management software enables you to securely configure, monitor, and update your NVIDIA Accelerators for HPE seamlessly, from anywhere in the world.
- 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.
- 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.
- 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.
- 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.
- 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.
Product Videos
Specifications
| Spec | Description |
|---|---|
| Trademark information | NVIDIA, the NVIDIA logo, NVIDIA-Certified Systems, NVLink, NVIDIA Omniverse and NVIDIA RTX are trademarks and/or registered trademarks of NVIDIA Corporation and affiliates in the U.S. and other countries. Other company and product names may be tra... |
| QuickSpecs | ##QUICKSPECS## |
| QuickSpecs (HTML) | https://www.hpe.com/psnow/doc/c04123180.html?jumpid=in_pdp-psnow-qs |
| QuickSpecs (PDF) | https://www.hpe.com/psnow/doc/c04123180.pdf?jumpid=in_pdp-psnow-qs |
| QuickSpecs Date | ##QUICKSPECS##; 04/03/2023 12:00:00 AM; 10/31/2028 12:00:00 AM |
| Quickspec Date | 52; ##QUICKSPECS## |
| Memory size per board | 24 GB GDDR6 |
| Memory bandwidth for board | 300 GB/s |
| Number of accelerators per card | 1 |
| System | Compatible with HPE DL320 Gen11 |
| Platform Supported | HPE Mainstream Compute Platforms |
| Accelerator applications | AI, video, virtual workstations, and graphics applications in the enterprise, in the cloud, and at the edge. |
| Architecture features | The NVIDIA L4 Tensor Core GPU delivers a versatile platform to accelerate Deep Learning, Graphics and Video processing applications in the Cloud and at the Edge. It is a half-height (Low profile), Half-length, single slot card featuring 24GB of GD... |
| Product Dimensions (metric) | 16.85 x 6.89 x 1.87 cm |
| Product Dimensions (imperial) | 6.63 x 2.71 x 0.74 in |
| Weight | 0.27 kg; 0.59 lb |
| Warranty | For details on HPE Qualified Options Limited Warranty visit: 1-year parts, 1-year labor, and 1-year on-site support coverage. For more warranty information refer to https://h20564.www2.hpe.com/hpsc/wc/public/home |
| UNSPSC code | 43201401 |
| Facet Family Brand (facet) | NVIDIA |
| Facet Product type (facet) | Computational |
| Facet Platform Supported (facet) | HPE Mainstream Compute Platforms |
| Facet Family Brand (faceturl) | nvidia |
| Facet Subcategory (faceturl) | computational-and-graphics-accelerators-for-servers |
| Facet Category (faceturl) | server-accelerators |
| Facet Product type (faceturl) | computational |
| Facet Platform Supported (faceturl) | hpe-mainstream-compute-platforms |