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NVIDIA GPU Graphics card family

NVIDIA VCQGV100-BLK

Product description: NVIDIA VCQGV100-BLK_Quadro GV100 32GB Bulk Version_Liyuan Tech
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Manufacturer：NVIDIA
PN：VCQGV100-BLK
CUDA Cores: 5120
Tensor Cores: 640
Peak Double Precision FP64 Performance : 7.4 TFLOPS
Peak Single Precision FP32 Performance: 14.8 TFLOPS
Peak Half Precision FP16 Performance: 29.6 TFLOPS
Peak Integer Operation (INT8) Performance: 59.3 TOPS
Deep Learning TFLOPS: 118.5 TFLOPS
GPU Memory: 32 GB HBM2
Memory Interface: 4096-bit
Memory Bandwidth: 870 GB/s
System Interface: PCI Express 3.0 x16
Display Connectors: DP 1.4 (4)
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 Quadro 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 (FinFET NVIDIA) high-performance manufacturing process customized for NVIDIA to incorporate 5120 CUDA cores, the NVIDIA 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. NVIDIA 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.
In addition to NVIDIA VCQGV100-BLK , Liyuan Tech supply a wide range of other NVIDIA GPU and graphics card family transceivers. If you have any need or interest, please feel free to send inquiry to global@chn-liyuan.com

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