PNY VCQGV100-PB, Quadro GV100, 32 GB, Högt bandbreddsminne 2 (HBM2), 4096 bit, 7680 x 4320 pixlar, PCI Express x16 3.0

Information
Ej i lager, kan gå att beställa
Tillverkare PNY
Artnr VCQGV100-PB
  • Information
    • Full-scene antialiasing
    • 32K texture and render processing
    • NVIDIA Quadro MOSAIC technology
    • DisplayPort 1.4
    • NVIDIA Quadro Sync II
    • OpenGL quad buffered stereo support
    • Professional 3D stereo synchronization
    • Ultra High Resolution desktop support
    • Unified Memory
    • NVIDIA GPUDirect for Video
    AI, photo realistic rendering, simulation, and VR are transforming professional workflows. Engineers can now create groundbreaking products faster. Architects can design buildings that could only have existed in their imaginations. And artists can render complex photorealistic scenes in seconds instead of hours. As applications continue to be enhanced with these technologies, professional computing tools need to keep pace.

    The NVIDIA Quadro GV100 is reinventing the workstation to meet the demands of these next-generation workflows. It's powered by NVDIA Volta, delivering the extreme memory capacity, scalability, and performance that designers, architects, and scientists need to create, build, and solve the impossible.

    Based on a state-of-the-art 12nm FFN high-performance manufacturing process customized for NVIDIA to incorporate 5120 CUDA cores, the Quadro GV100 GPU is the most powerful computing platform for HPC, AI, VR and graphics workloads on professional desktops. Able to deliver more than 7.4 TFLOPS of double-precision (FP64), 14.8 TFLOPS of single-precision (FP32), 29.6 TFLOPS of half-precision (FP16), 59.3 TOPS of integer-precision (INT8), and 118.5 TFLOPs of tensor operation capability, it supports a wide range of compute-intensive workloads flawlessly.

    New mixed-precision Tensor Cores purpose-built for deep learning matrix arithmetic, deliver an 8x boost in TFLOPS performance for training, compared to the previous generation. Quadro GV100 utilizes 640 Tensor Cores; each Tensor Core performs 64 floating point fused multiply-add (FMA) operations per clock, and each SM performs a total of 1024 individual floating point operations per clock.

    Note: Adapters included.

  • Specifikation