HPE 870919-001
NVIDIA Tesla P40 24 GB PCIe GPU Accelerator
The HPE 870919‑001 features an NVIDIA Tesla P40 GPU with 24 GB of GDDR5 memory and a PCI Express 3.0 ×16 interface. Designed for AI inference,high-performance computing, and virtual workstation acceleration, it supports compute workloads across CUDA, OpenCL, and TensorRT. With 3,840 CUDA cores and up to ~12 TFLOPS of single-precision performance, this Accelerator excels at parallel processing and inference tasks at scale. The large memory capacity and memory bandwidth (~346 GB/s) make it well-suited for large neural network inference, graphics virtualization, and simulation workloads in HPE ProLiant and Synergy server environments.
Features
Based on NVIDIA Pascal architecture (GP102 GPU), the Tesla P40 delivers up to ~47 TOPS of INT8 inferencing throughput (ideal for quantized deep-learning models), along with ~11.7 TFLOPS FP32 compute performance. The board is passively cooled and rated at ~250 W TDP, requiring sufficient chassis airflow for thermal management. Equipped with 24 GB GDDR5 memory on a 384‑bit bus, it sustains ~346 GB/s memory bandwidth for heavy workloads. The card supports hardware virtualization via NVIDIA GRID/vDWS profiles, up to 24 vGPU instances (1 GB profile) for remote desktops, plus GPU compute APIs like CUDA, OpenCL, and TensorRT. Compatible with HPE ProLiant Gen9/Gen10 servers including DL380, DL360, Apollo, XL, and Synergy platforms.
Advanced Options
The Tesla P40 is optimized for enterprise-class AI inference and GPU virtualization workloads. Powered by passive cooling, it relies on server airflow (bidirectional supported) to maintain thermal stability. With high single-precision and INT8 throughput, it accelerates inference models drastically—for example, a single server with eight P40s can replace over 140 CPU-only servers in inference tasks.
Product Key Features
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NVIDIA Tesla P40 GPU Accelerator (Pascal architecture)
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24 GB GDDR5 memory, 384‑bit memory interface (~346 GB/s)
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3,840 CUDA cores; ~11.7 TFLOPS FP32 compute throughput
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INT8 inference performance: ~47 TOPS
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Passive cooling (dual-slot PCIe board), 250 W max power
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Supports vGPU virtualization (up to 24 users), CUDA, OpenCL, TensorRT
Reliability & Performance
Support for NVIDIA vGPU enables remote workstation deployments and multi-user GPU sharing, enhancing data center efficiency. ECC memory protection and compliance with HPE -certified server platforms ensure operational reliability. Its deployment in HPE Synergy and ProLiant systems facilitates streamlined installation, compatibility, and support for long-term use.
Key Features :
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NVIDIA Tesla P40 GPU with Pascal GP102 architecture
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24 GB GDDR5 memory, 384‑bit interface (~346 GB/s)
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Compute performance: ~11.7 TFLOPS FP32, ~47 TOPS INT8 inference
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Passive cooling; dual‑slot, PCIe 3.0 ×16 form factor
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Supports NVIDIA vGPU (up to 24 virtual GPUs), CUDA, OpenCL, TensorRT
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Certified for HPE ProLiant Gen9/Gen10, Synergy, Apollo and XL platforms
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