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VCQGV100-PB PNY NVIDIA Quadro GV100 - Grafikus kártya

Ár:
4.315.153 Ft (3.397.758 Ft + ÁFA)
Gyártó cikkszám: VCQGV100-PB
Cikkszám: VCQGV100-PB
Elérhetőség: Kérjen friss ajánlatot emailben!
Átlagos értékelés: Nem értékelt
Gyártó: PNY
Menny.:

Leírás és Paraméterek

PNY VCQGV100-PB. Graphics processor family: NVIDIA, Graphics processor: Quadro GV100. Discrete graphics adapter memory: 32 GB, Graphics adapter memory type: High Bandwidth Memory 2 (HBM2), Memory bus: 4096 bit. Maximum resolution: 7680 x 4320 pixels. DirectX version: 12.0, OpenGL version: 4.5. Interface type: PCI Express x16 3.0. Cooling type: Active, Number of fans: 1 fan(s)

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.

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