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HPE P09571-001 NVIDIA T4 16GB Computational Accelerator

P09571-001

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Detailed Specifications

HPE P09571-001

NVIDIA T4 16GB Computational Accelerator

The HPE P09571-001 NVIDIA T4 16GB Computational Accelerator delivers exceptional AI, machine learning, deep learning,  and high-performance computing (HPC) capabilities in a compact, power-efficient form factor. Powered by the NVIDIA Turing™ architecture and featuring Tensor Cores, the T4 provides the acceleration required for diverse workloads including inference, training, and graphics rendering.Equipped with 16GB of GDDR6 memory and optimized for both single-precision and mixed-precision computing, the NVIDIA T4 delivers outstanding performance for workloads in cloud, enterprise, and data center environments. This Accelerator supports PCIe Gen3 x16 and is compatible with a wide range of HPE servers, making it an ideal choice for organizations looking to scale their AI and compute capabilities without significantly increasing power consumption.

Features

Designed for virtual desktops, analytics, and real-time AI inference, the T4 brings GPU acceleration to a wide variety of applications, enabling faster time-to-insight and enhanced user experiences.The HPEP09571-001 NVIDIA T4 is designed for high-density compute environments where performance, efficiency, and scalability are equally critical. Built with the NVIDIA Turing GPU architecture, the T4 integrates 320 Turing Tensor Cores and 2,560 CUDA® cores to accelerate diverse workloads ranging from deep learning inference to high-end graphics virtualization.The T4's compatibility with HPE ProLiant and Apollo servers ensures seamless integration into existing infrastructures. With support for NVIDIA virtualization technology (vGPU), it also enables secure, multi-tenant GPU sharing for VDI workloads, making it versatile across AI research, training, inference, and graphics virtualization.

Advanced Options

Its 16GB GDDR6 memory and 320 GB/s memory bandwidth ensure that large datasets and complex models are processed efficiently, reducing latency and improving throughput. With low-profile, single-slot design and a 70W TDP, the T4 delivers powerful performance while maintaining energy efficiency, enabling deployment in a wide range of server configurations without additional cooling requirements.Its Tensor Cores enable lightning-fast deep learning inference, while its CUDA cores support a broad range of parallel computing applications. This balance of AI and traditional compute performance makes it suitable for both cloud data centers and enterprise on-premises environments.

Product Key Features

  • NVIDIA Turing architecture with Tensor Cores for AI acceleration

  • 16GB GDDR6 memory for large datasets and models

  • Low-profile, single-slot form factor for flexible deployment

  • PCIe Gen3 x16 interface for high-speed data transfer

  • Mixed-precision computing for optimized inference performance

  •  Compatible with major AI frameworks and HPC workloads


Reliability & Performance

The Accelerator supports mixed-precision computing (FP32, FP16, INT8, INT4) to optimize inference performance while minimizing power draw. It is fully compatible with the NVIDIA AI software stack, including TensorRT™, CUDA®, cuDNN, and deep learning frameworks such as TensorFlow, PyTorch, and MXNet.Whether used for virtual desktop infrastructure (VDI), speech recognition, recommendation systems, or real-time analytics, the HPE P09571-001 provides a powerful, flexible, and cost-effective way to accelerate workloads and drive innovation.The HPE P09571-001 NVIDIA T4 delivers high performance in AI, HPC, and graphics-accelerated virtual environments while maintaining exceptional energy efficiency. Designed with 70W power consumption, it’s ideal for high-density deployments where power and cooling budgets are constrained.

Key Features :

  • NVIDIA Turing architecture GPU

  • 16GB GDDR6 memory

  • 2,560 CUDA cores and 320 Tensor Cores

  • PCI Express Gen3 x16 interface

  • Single-slot, low-profile form factor

  • 70W TDP for energy efficiency

  • Support for AI, HPC, and VDI workloads

  • Compatible with NVIDIA CUDA, cuDNN, TensorRT

SpecificationDetails
Model Number P09571-001
GPU Architecture NVIDIA Turing
CUDA Cores 2,560
Tensor Cores 320
Memory 16GB GDDR6
Memory Bandwidth 320 GB/s
Interface PCIe Gen3 x16
Form Factor Low-profile, single-slot
TDP 70W
Supported Precision FP32, FP16, INT8, INT4
Cooling Passive heatsink
Supported Servers HPE ProLiant / Apollo series
  • All packages are shipped same day if the order is placed before 3PM CST

    We use UPS/FedEx to ship the packages with different service levels offered by UPS/FedEx

    Overnight Shipping take 1 business day
    Expedited Shipping take about 2-3 business days
    Ground shipping take about 3-5 business days

    You can select the desired service level at Checkout and we will make sure the package is shipped as per the selected service level.

  • We Accept

    i) PayPal
    ii) All Credit & Debit Cards
    iii) Purchase Orders
    iv) Check
    v) Bank Transfer/ACH/Wire Transfer

    To process the order through Paypal/CC, you can simply checkout and process the payment.

    If you want to issue us Purchase Order/Check/Bank Transfer, Please contact us at the following details

    Call: 469.458.9636
    Email: sales@dcsupplies.net

  • If you have any queries, please contact us at the following details and we will be happy to help

    Call
    469.458.9636
    469.458.9638

    Email
    sales@dcsupplies.net

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