S8901 Quadro for AI, VR and Simulation

S8901 Quadro for AI, VR and Simulation

Carl Flygare, PNY Quadro Product Marketing Manager Allen Bourgoyne, NVIDIA Senior Product Marketing Manager

The question of whether a computer can think is no more interesting than the question of whether a submarine can swim. Edsger Dijkstra

Intelligence Abounds in Nature A very small sampling

Technological Intelligence Homo sapiens essential differentiator Thalmocortical brain network 3 million neurons, 476 million synapses Full human brain 106 billion neurons, 1,000 trillion synapses

Artificial Intelligence: Where we Stand Today Google s IQ is slightly below a six-year-old human s Google 47.28 78.42% increase since 2014 Baidu 32.92 40.08% increase since 2014 Microsoft Bing 31.98 Apple Siri 23.90 AI IQ s significantly lower than an 18-year-old s average 97 score In 2014 two of the three researchers found Google had an IQ of 26.5 compared to Baidu s 23.5 Source: http://www.zdnet.com/article/google-ai-vs-siri-vs-bing-iq-tests-show-one-is-smartest-by-a-mile/

NVIDIA Quadro Every segment benefits from AI, VR and simulation Manufacturing CAE Media and Entertainment Automotive AEC Energy (Oil and Gas) Scientific and Technical Healthcare

NVIDIA Quadro AI, VR and Simulation Open New Possibilities AI (Deep Learning) Development, Collaborative VR, CAE Simulations, Ultimate CAD Models, Photorealistic Rendering and GPGPU Compute GP100 16 GB GV100 32 GB Collaborative VR, Extremely Complex CAD Models, CAE, Photorealistic Rendering, DCC and VFX, Seismic Exploration, 3D Medical Imaging P6000 24 GB Professional VR, Very Complex CAD Models, CAE, Photorealistic Rendering, Advanced DCC and VFX, 3D Medical Imaging P5000 16 GB Professional VR, Complex CAD Models, CAE, Photorealistic Rendering, Complex DCC and VFX, Medical Imaging P4000 8 GB Medium Size and Complexity CAD Models, PLM, Basic DCC, Medical Imaging P2000 5 GB P1000 4 GB Small and Simple CAD Models, Entry PLM P620 2 GB P400 2 GB Entry Basic Mid Range Upper Range High End Ultra High End

NVIDIA Quadro AI, VR and Simulation Open New Possibilities AI (Deep Learning) Development, Collaborative VR, CAE Simulations, Ultimate CAD Models, Photorealistic Rendering and GPGPU Compute GP100 16 GB GV100 32 GB Collaborative VR, Extremely Complex CAD Models, CAE, Photorealistic Rendering, DCC and VFX, Seismic Exploration, 3D Medical Imaging P6000 24 GB Professional VR, Very Complex CAD Models, CAE, Photorealistic Rendering, Advanced DCC and VFX, 3D Medical Imaging P5000 16 GB Professional VR, Complex CAD Models, CAE, Photorealistic Rendering, Complex DCC and VFX, Medical Imaging P4000 8 GB Medium Size and Complexity CAD Models, PLM, Basic DCC, Medical Imaging P2000 5 GB P1000 4 GB Small and Simple CAD Models, Entry PLM P620 2 GB P400 2 GB Entry Basic Mid Range Upper Range High End Ultra High End

NVIDIA Quadro GP100 NVIDIA Quadro GV100 Reinventing the Workstation for AI

NVIDIA Quadro GP100 NVIDIA Quadro GV100 x 2 NVLink Scalable Workstation AI

NVIDIA Quadro GV100 and NVLink Scaling performance and memory * High speed GPU and memory connection for GV100 NVLink combines two GV100s for twice the compute power and 64 GB of memory Up to 200 GB/sec bidirectional bandwidth, 25% improvement Used in pairs, two dedicated NVLink connectors on GV100 boards Provides SLI functionality for GV100 boards * Application support for NVLink required. Maximum of two GV100 boards can be connected with NVLink.

NVIDIA Quadro GV100 Technical specifications GPU Architecture CUDA and Tensor Cores Memory Capacity Peak Memory Bandwidth FP64 (Double Precision) FP32 (Single Precision) FP16 (Half Precision) INT8 (Integer) System Interface NVLink Volta 2560 (FP64), 5120 (FP32), 640 (Tensor) 32 GB HBM2 870 GB/sec 7.4 TFLOPS 42% improvement 14.8 TFLOPS 44% improvement 118.5 TFLOPS (Matrix Multiply with FP16 or 32 Accumulate) 59.3 TOPS 26% improvement PCI Express Gen 3 x16 200 GB/sec Bidirectional 25% improvement Display Connectors 4x DisplayPort 1.4 with HDCP 2.2 4K Display Support 5K Display Support 8K Display Support VR Ready and Stereo 4x 4096 x 2160 at 120 Hz with HDR 4x 5120 x 2880 at 60 Hz with HDR 2x 7680 x 4320 at 60 Hz with HDR Yes, Stereo via 3-pin mini-din Connector Bracket

NVIDIA Quadro GV100 Unmatched compute capabilities FP64 FP32 FP16 7.4 14.8 118.5 TFLOPS TFLOPS TFLOPS INT8 59.3 TOPS

NVIDIA Quadro GV100 Features and benefits relative to GP100 GP100 GV100 Benefit GPU Architecture Pascal Volta Most powerful, efficient and AI optimized GPU CUDA Cores 3584 5120 Significantly greater compute and rendering performance FP64 Performance 5.2 TFLOPS 7.2 TFLOPS 1.4x greater FP64 compute performance Memory Size 16 GB HBM2 32 GB HBM2 2.0x memory capacity Memory Bus Width 4096-bit 4096-bit Radically advanced memory bus implementation Peak Memory Bandwidth 717 GB/sec 870 GB/sec Move data to and from GPU 1.2x faster Display Support 4x DP 1.4 + 1x DVI-D DL 4x DP 1.4 and HDCP 2.2 Supports four 4K, 5K or 8K displays, latest HDCP HDR Image Support Yes Yes More lifelike images Advanced Display Quadro Sync II Quadro Sync II Synchronize up to 8 GPUs per system VR Ready Yes Yes, GV100 implements full suite of hardware optimizations NVLink NVLink (First Generation) NVLink (Second Generation) Higher performance means lower latency Board Power 235 W 250 W Better performance per Watt Auxiliary Power Connector 8-pin PCIe 8-pin PCIe Simplified power supply connectivity Form Factor 4.4 H x 10.5 L Dual Slot 4.4 H x 10.5 L Dual Slot No significant mechanical or thermal changes

NVIDIA Quadro GV100 Redefines state of the art across essential solutions Artificial Intelligence RTX Rendering Compute Immersive Visualization (VR) Tensor processor cores Unrivaled FP32 performance Industry leading HPC capabilities Includes VR hardware optimizations NVIDIA GPU deep learning stack Largest models in GPU memory Work with largest datasets Full NVIDIA VRWORKS support ISV DL and ML framework optimization AI accelerated photorealistic rendering Integrate simulation into design process Create new AI-augmented technologies Iterate and innovate faster Neural network character animation Utilize generative design algorithms Visualize the largest datasets Reduce training time Apply AI to simultaneous video streams Fastest FEA, CFD, CEM available Collaborative VR environments (Holodeck) Connect two GV100 boards with NVLink to provide 64 GB of memory and twice the GPU processing power in standard workstation enclosures

NVIDIA Quadro GV100 RTX rendering lets you dream and create at the speed of thought Architectural Design Visualize cities or urban street scenes in every photorealistic detail Product Design Design with physically based lights and materials in realtime Media and Entertainment Perfect every shot with GPI accelerated and AI enhanced rendering Work at full fidelity, utilizing massive datasets with 2x larger memory capacity Master rendering projects interactively with AI (Deep Neural Network) technology

NVIDIA Quadro RTX supercharges rendering with AI accelerated denoising Denoising On 20 Frames Denoising Off 20 Frames Denoising Off 290 Frames High quality results with fluid visual interactivity throughout the design process

NVIDIA Quadro Companies working with NVIDIA s OptiX AI denoiser technology Image courtesy of Isotropix, rendered with Clarisse and denoised with NVIDIA OptiX.

NVIDIA Quadro CAD and CAE workflow elements Design (CAD) Pre-Processing Simulation (CAE) Post-Processing

NVIDIA Quadro GV100 Benefit from the ultimate immersive experiences RTX Rendered Graphics Interactive Physics Realtime Collaboration GPU-Accelerated AI 2x larger memory capacity lets you work with high fidelity, massive datasets (v. GP100) Benefit from unconstrained Holodeck experiences with full-featured VR performance and capabilities

NVIDIA Quadro GV100 Realize new opportunities with AI Development NGC Aggregation Inferencing At-The-Edge Retail store inferencing with Quadro by DeepBlue Technology, China 32 GB or 64 GB capacity (NVLink) trains neural networks with massive datasets Develop with NVIDIA optimized Deep Learning frameworks and deploy with NGC interoperability and scalability Accelerate AI training and inferencing on workstations with Tensor cores and NVLink

NVIDIA Quadro GV100 AI Training Performance Up to 2x improvement in Deep Learning training performance* 800 Caffe ResNet-50 Training IPS 700 Tensor Flow ResNet-50 Training IPS 700 600 600 500 500 400 400 300 300 200 200 100 100 GP100 Batch Size 128 GP100 Batch Size 256 GV100 Batch Size 512 GV100 Batch Size 128 GV 100 Batch Size 256 GV100 Batch Size 256 * Based on TensorFlow Resnet-50 Training. Tests run on dual Intel Xeon E5 2690 v4 at 2.6 GHz, NVIDIA driver version 390.19, ResNet-50 Training.

NVIDIA Quadro GV100 Deep Learning Training Performance Over 2x improvement in Deep Learning training and inference performance* 700 Tensor FlowResNet-50 Training 700 TensorRT ResNet-50 Inference 600 600 500 500 400 400 300 300 200 200 100 100 GP100 Batch Size 256 1 2 4 8 GV100 Batch Size 256 GV 100 Batch Size 512 Batch Size * Based on TensorFlow Resnet-50 Training, TensorRT ResNet-50 Inference tests. Tests run on dual Intel Xeon E5 2690 v4 at 2.6 GHz, NVIDIA driver version 390.19, ResNet-50 Training.

NVIDIA Quadro GV100 Scientific Compute Performance More than 2x improvement over the previous generation* 2.0 CUDA Basic Linear Algebra Solver Benchmark 700 LAAMPS Atomic Fluid Benchmark CUBLABS 2560 x 2048 x 8192 600 1.5 500 400 1.0 300 0.5 200 100 FP32 FP64 FP16 GP100 GV100 * Based LAMMPS molecular modeling benchmark. Tests run on dual Intel Xeon E5 2690 v4 at 2.6 GHz, NVIDIA driver version 390.19, ResNet-50 Training.

NVIDIA Quadro GV100 CAE Example Significant ANSYS Mechanical 19 Acceleration* Power Supply Module (V19cg-1) 16 GPU Cores Base + 12 HPC Licenses 2.29 8 CPU Cores + GV100 Base + 5 HPC Licenses 3.90 8 CPU Cores Base + 4 HPC Licenses 1.71 3 CPU Cores + GV100 Base License 2.65 4 CPU Cores Base License 1.0 0 1 2 3 4 * Power Supply Module (V19cg-1). 2x Xeon E5-2699 v4 at 2.2 GHz, 22 cores, HT off, NVIDIA driver 390.40 TCC, 256GB DRAM, CentOS 7.2.1511 64-bit. ANSYS Mechanical 19 benchmark model. Steady state thermal analysis of a power supply module, 5.3 Mdofs, JCG, real-value symmetric.

NVIDIA Quadro GV100 CAE Example Standout ANSYS Fluent 19 Acceleration* Pipes Model 9.6 Million Cells 32 CPU Cores + 2x GV100 Base + 2 HPC Packs 5.55 32 CPU Cores Base + 2 HPC Packs 3.29 16 CPU Cores + 2x GV100 Base + 5 HPC Licenses 4.71 16 CPU Cores Base + 12 HPC Licenses 2.74 8 CPU Cores + GV100 Base + 5 HPC Licenses 2.67 8 CPU Cores Base + 4 HPC Licenses 1.78 3 CPU Cores + GV100 Base License 1.53 4 CPU Cores Base License 1.0 0 1 2 3 4 5 6 * Power Supply Module (V19cg-1). 2x Xeon E5-2699 v4 at 2.2 GHz, 22 cores, HT off, NVIDIA driver 390.40 TCC, 256GB DRAM, CentOS 7.2.1511 64-bit. ANSYS Mechanical 19 benchmark model. Steady state thermal analysis of a power supply module, 5.3 Mdofs, JCG, real-value symmetric.

NVIDIA Quadro GV100 Rendering Performance SOLIDWORKS Visualize scales to over 29x faster than CPU* 2x GV100 2x GP100 GV100 GP100 P6000 P5000 P4000 P2000 CPU 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 * Based on 2x GV100, Xeon E5-2697 v3, 14 cores at 2.6 GHz, 32 GB DRAM, Win 10 Pro 64-bit Fall Creator s Update and NVIDIA driver version 390.77. Tests run at 4K UHD (3840 x 2160) resolution.

NVIDIA Quadro GV100 Graphics Performance Up to 1.3x better than previous generation * 1.4 Quadro GP100 Quadro GV100 1.2 1.0 0.8 0.6 0.4 0.2 geomean 3dsmax catia creo energy maya medical showcase snx sw * Based on SPECviewperf 12.2.2 results.