R9H23C HPE Nvidia A2 16GB GDDR6 1770MHz 200GB/s GPU
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R9H23C
High-Performance PCIe GPU Accelerator for Inference and VDI Density with the R9H23C
The R9H23C is an HPE-qualified NVIDIA Tesla A2 (Ampere) PCIe add-in accelerator engineered for scalable AI inference, GPU-enabled virtual desktops, and media pipelines in standard rack servers. It combines 1280 CUDA cores with Tensor Cores and 16GB GDDR6 to keep model execution and frame workloads close to the CPU platform while maintaining predictable latency under multi-tenant scheduling.
Designed as a full-height, single-slot card, R9H23C integrates through a PCIe 4.0 x8 interface, enabling high-throughput DMA paths and efficient CPU-to-GPU handoff without consuming a x16 slot budget. The 16GB GDDR6 memory subsystem on a 128-bit bus delivers 200GB/s bandwidth for batch inference, lightweight graphics, and concurrent transcode sessions. With a 60W TDP and passive cooling, R9H23C aligns to server airflow and supports dense deployment across 1U/2U nodes, allowing architects to scale GPU count per rack without redesigning power and cooling envelopes.
Why Choose the R9H23C?
The R9H23C targets the density-to-performance requirements of enterprise inference and VDI farms by delivering Ampere acceleration in a power-efficient, single-slot profile. R9H23C supports repeatable scaling across clusters, preserves PCIe lanes for NICs and storage controllers, and fits deployment models where reliability, serviceability, and predictable thermals matter more than peak training throughput.
HPE engineering emphasizes qualification, platform compatibility, and lifecycle management to meet modern data centre standards. R9H23C is positioned for controlled integration into HPE server configurations, aligning firmware, mechanical, and thermal requirements for consistent operation in production racks.
Key Applications:
- Edge and data centre AI inference
- GPU-accelerated VDI
- Virtualised application delivery
- Media transcoding and streaming
At Happyware - Server Hardware you benefit from non-binding offers tailored to your deployment plan for R9H23C, helping you size GPU density, airflow, and slot allocation correctly. For large rollouts, a bulk order discount supports consistent configuration across server fleets.
Technical details of R9H23C
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