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
● Work with higher fidelity CAE simulation models
● Explore more design options with faster solver performance
● Work with complex, photoreal datasets in VR
● Enjoy optimal NVIDIA Holodeck experience
● Access DL frameworks for AI development via NVIDIA NGC
● Accelerate AI training/inferencing with Tensor Cores and NVLink
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.
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.
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.
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.
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.
Connect a pair of Quadro GV100 cards with NVLink to increase the effective memory footprint and scale application performance by enabling GPU-to-GPU data transfers at rates up to 100 GB/s (bidirectional) for a total bandwidth of 200 GB/s.
Leverage multiple GPUs to dynamically scale graphics performance, enhance image quality, expand display real estate, and assemble a fully virtualized system.
Dramatically reduce visual aliasing artifacts or "jaggies" with up to 64X FSAA (128x with SLI )for unparalleled image quality and highly realistic scenes.
Texture from and render to 32K x 32K surfaces to support applications that demand the highest resolution and quality image processing.
Increase bandwidth by up to 20% by reducing the amount of data fetched from memory for each frame with fourth generation, lossless delta compression.
Support up to four 5K monitors @ 60Hz, or dual 8K displays per card. Quadro GV100 supports HDR color for 4K @ 60Hz for 10/12b HEVC decode and up to 4K @ 60Hz for 10b HEVC encode. Each DisplayPort connector is capable of driving ultra-high resolutions of 4096x2160 @ 120 Hz with 30-bit color.
Gain unprecedented end-user control of the desktop experience for increased productivity in single large display or multi-display environments.
Transparently scale the desktop and applications across up to 4 GPUs and 16 displays from a single workstation while delivering full performance and image quality, optimized for still image visualizations and unified desktops.
Synchronize the display and image output of up to 32 displays from 8 GPUs (connected through two Sync II boards) in a single system, reducing the number of machines needed to create an advanced video visualization environment.
Each frame lock connector is designed with a self-locking retention mechanism to secure its connection with the frame lock cable to provide robust connectivity and maximum productivity.
Provide a smooth and immersive 3D Stereo experience for professional applications.
Get more Mosaic topology choices with high resolution displays devices with a 32K Max desktop size.
Robust control of stereo effects through a dedicated connection to directly synchronize 3D stereo hardware to a Quadro graphics card.
Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT delivers higher performance for both deep learning inference and High-Performance Computing (HPC) applications.
Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and Direct Compute to accelerates techniques such as ray tracing, video and image processing, and computation fluid dynamics.
A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.
GPUDirect for Video speeds communication between the GPU and video I/O devices by avoiding unnecessary system memory copies and CPU overhead.
Maximize system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for efficient operations.
GPU Architecture |
Volta |
CUDA Cores |
5120 |
Memory Capacity |
32GB HBM2 |
Memory Interface |
4096-bit |
Memory Bandwidth |
UP to 870 GB/s |
Graphics Bus |
PCI Express 3.0 x16 |
Double Precision (FP64) Performance |
7.4 TFLOPs |
Single Precision (FP32) Performance |
14.8 TFLOPs |
Half Precision (FP16) Performance |
29.6 TFLOPS |
Integer Operation (INT8) Performance |
59.3 TFLOPS |
Deep Learning Performance |
118.5 TFLOPS |
Max Power Consumption |
250 W |
Display Connectors |
4x DP 1.4 |
DP 1.4/1.3 Resolution |
4x 4096x2160 @ 120Hz |
Thermal Solution |
Active |
Form Factor |
4.4” H x 10.5” L Dual Slot,Full Height |
Graphics APIs |
Shader Model 5.1, OpenGL 4.51, DirectX 12.02, Vulkan 1.01 |
Compute APIs |
CUDA, DirectCompute, OpenCL™ |
1 Product is based on a published Khronos Specification, and is expected to pass the Khronos Conformance Testing Process when available. Current conformance status can be found at www.khronos.org/conformance | 2 GPU supports DX12.0 API, Hardware Feature Level 12_1