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R9H23C HPE NVIDIA A2 16GB PCIe Accelerator | UAE
R9H23C Overview
The HPE NVIDIA A2 16GB PCIe Accelerator Card (R9H23C) is an energy-efficient AI inference accelerator designed for edge computing, virtualized environments, and enterprise data centers. Powered by the NVIDIA Ampere architecture, it features 16GB of GDDR6 memory, Tensor Cores, and PCIe Gen4 connectivity to accelerate AI inference, video analytics, intelligent automation, and cloud workloads. Its low-profile, single-slot design and configurable 40–60W TDP make it ideal for deployment in space-constrained HPE ProLiant servers while delivering excellent performance per watt. The R9H23C is optimized for scalable inference workloads, including computer vision, natural language processing, and recommendation systems.
10,074.15 AED
Description
| Feature | Specification |
|---|---|
| Model | HPE NVIDIA A2 PCIe Accelerator Card |
| Part Number | R9H23C |
| GPU Architecture | NVIDIA Ampere |
| GPU Memory | 16GB GDDR6 |
| Memory Bandwidth | 200 GB/s |
| Bus Interface | PCI Express Gen4 x8 |
| Accelerator Type | AI Inference Accelerator |
| Tensor Cores | 3rd Generation |
| RT Cores | 2nd Generation |
| Form Factor | Low Profile, Single Slot |
| Configurable TDP | 40W–60W |
| Number of GPUs | 1 GPU per Card |
| Cooling | Passive (Server Airflow Required) |
| Primary Workloads | AI Inference, Edge AI, Video Analytics, Virtual Desktop Infrastructure (VDI) |
| Compatible Platforms | HPE ProLiant Gen10/Gen11 Servers, HPE Apollo, HPE Synergy, HPE Edgeline (selected models) |
| Virtualization Support | NVIDIA AI Enterprise, VMware, Citrix, Microsoft Hyper-V (supported configurations) |
Frequently Asked Questions
1. What is the HPE NVIDIA A2 16GB PCIe Accelerator Card used for?
The HPE NVIDIA A2 is designed to accelerate AI inference, edge computing, virtual desktops, video analytics, and machine learning workloads in enterprise servers.
2. How much memory does the R9H23C include?
The accelerator features 16GB of GDDR6 memory with 200 GB/s memory bandwidth, enabling efficient processing of AI inference and visualization tasks.
3. Does the NVIDIA A2 require external PCIe power?
No. The card operates with a configurable 40W to 60W thermal design power (TDP) and is powered directly through the PCIe slot in supported HPE servers.
4. Which servers support the R9H23C accelerator?
The card is compatible with selected HPE ProLiant Gen10 and Gen11 servers, HPE Apollo systems, HPE Synergy platforms, and HPE Edgeline solutions. Compatibility should be verified for your specific server model.
5. Is the NVIDIA A2 suitable for AI training?
The NVIDIA A2 is primarily optimized for AI inference rather than large-scale AI training. It delivers excellent performance for deploying trained AI models in production environments.
6. What applications benefit from the HPE NVIDIA A2 Accelerator?
The accelerator is ideal for computer vision, natural language processing, recommendation engines, intelligent video analytics, cloud AI services, and virtual desktop infrastructure (VDI) deployments.
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