3584 CUDA NVIDIA CUDA? Cores
16 GB HBM2 GPU Memory
Up to 717 GB/s Memory Bandwidth
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    Welcome:Beijing Plink Ai Technology Co.,LTD.Service Hotline:+86-400-127-3302
    Language: Chinese ∷  English

    Professional Graphics Card

    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    • NVIDIA Quadro GP100
    NVIDIA Quadro GP100NVIDIA Quadro GP100NVIDIA Quadro GP100NVIDIA Quadro GP100NVIDIA Quadro GP100NVIDIA Quadro GP100NVIDIA Quadro GP100

    NVIDIA Quadro GP100

    Pascal GPU
    3584 CUDA NVIDIA CUDA? Cores
    16 GB HBM2 GPU Memory
    Up to 717 GB/s Memory Bandwidth

    CUDA Parallel Processing cores

    3584

    Frame Buffer Memory

    16 GB HBM2 ECC

    Peak Double Precision (FP64) Performance

    5.2 TFLOPs

    Peak Single Precision(FP32) Performance

    10.3 TFLOPs

    Peak Half Precision (FP16) Performance

    20.7 TFLOPs

    Memory Interface

    4096-bit

    Memory Bandwidth

    717 GB/s

    Power Consumption

    235 W

    Graphics Bus4

    PCI Express 3.0 x16

    Display Connectors

    DP 1.4 (4), DVI-D DL (1)

    Form Factor

    4.4” H x 10.5” L Dual Slot

    Product Weight

    815g

    Thermal Solution

    Active

    CNVIDIA® 3D Vision® and 3D Vision Pro

    Support via 3 pin mini DIN

    Frame lock Compatible (with Quadro Sync II)
    Multi-GPU Scalability NVLink (2-way)
    High Speed HBM2 Memory

    Built with 16GB of the industry’s fastest graphics memory (717 GB/s peak bandwidth), Quadro GP100 is the ideal platform for latency-sensitive applications handling large datasets.

    NVLink High Speed Interface

    Connect a pair of Quadro GP100 cards with NVLink to increase the effective memory footprint and scale application performance by enabling GPU-to-GPU data transfers at rates up to 80 GB/s (bidirectional)

    Support Quadro Sync II

    Synchronize the display and image output of up to 32 displays from 8 GPUs (connected through two Sync II boards) in a single system, reducing the number of machines needed to create an advanced video visualization environment.



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