• Volta GPU
• 5120 NVIDIA^® CUDA^® Cores
• 32GB HBM2 Memory
• Up to 870GB/s Memory Bandwidth
• 7.4 TFLOPS FP64 Performance
• 14.8 TFLOPS FP32 Performance
• 29.6 TFLOPS FP16 Performance
• 59.3 TOPS INT8 Performance
• 118.5 TFLOPS of Tensor Operation
• Max. Power Consumption: 250W
• 4x DisplayPort 1.4

The NVIDIA^® Quadro^® GV100 reinvents the workstation to meet the demands of AI-enhanced design and visualization workflows. It’s powered by NVIDIA Volta, delivering extreme memory capacity, scalability, and performance that designers, architects, and scientists need to create, build, and solve the impossible.

Supercharge Rendering with AI

● Work with full fidelity, massive datasets
● Enjoy fluid visual interactivity with AI-accelerated denoising

Bring Optimal Designs to Market Faster

● Work with higher fidelity CAE simulation models
● Explore more design options with faster solver performance

Enjoy Ultimate Immersive Experiences

● Work with complex, photoreal datasets in VR
● Enjoy optimal NVIDIA Holodeck experience

Realize New Opportunities with AI

● Access DL frameworks for AI development via NVIDIA NGC
● Accelerate AI training/inferencing with Tensor Cores and NVLink 

Performance Features

Volta GPU Architecture

Based on 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.

Tensor Cores

Quadro GV100 utilizes 640 Tensor Cores ; new mixed-precision cores purpose-built for deep learning matrix arithmetic, delivering 8x TFLOPS for training, compared to previous generation.

High Speed HBM2 Memory

Built with Volta’s vastly optimized 32GB HBM2 memory subsystem for the industry’s fastest graphics memory, Quadro GV100 is the ideal platform for latency-sensitive applications handling large datasets. Quadro GV100 offers 2x memory capacity and delivers 20% more memory bandwidth compared to previous generation.

Mixed-Precision Computing

Double the throughput and reduce storage requirements with 16-bit floating point precision computing to enable the training and deployment of larger neural networks. With independent parallel integer and floating-point data paths, the Volta SM is also much more efficient on workloads with a mix of computation and addressing calculations.

H.264 and HEVC Encode/Decode Engines

Deliver faster than real-time performance for transcoding, video editing, and other encoding applications with two dedicated H.264 and HEVC encode engines and a dedicated decode engine that are independent of 3D/compute pipeline.