Main Features

• NVIDIA® Quadro® GV100 is known for its professional graphics that delivers rich-media quality and maneuvers complex graphics with perfection
• Features DirectX 12 API for vibrancy and clarity
• PCI Express 3.0 x16 interface is hot-swappable and easy to use
• Built-in 32 GB memory to hold textures, frame buffer, shadow maps, bump maps, and lightning info that allows the GPU to perform rapid rendering
• Built-in low-power fan keeps the board cool and ensures a long-lasting usability

Marketing Information

UNMATCHED POWER. UNMATCHED CREATIVE FREEDOM.

NVIDIA QUADRO GV100: REINVENTING THE WORKSTATION WITH REAL-TIME RAY TRACING AND AI

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 (FinFET NVIDIA) 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.