Washington D.C. NOV 1-2, 2017

Conference Topics

Discover the core fundamentals of NVIDIA's platform for developers. Get release details on CUDA 9.0 for Volta, our latest GPU development toolkit for high performance GPU-accelerated applications. Dive into Deep Learning SDK and outstanding resources like cuDNN, Tensor RT, NCCL and NVIDIA DIGITS which accelerate workloads in frameworks like TensorFlow, Caffe2, CNTK, Torch, and more. See the complete NVIDIA SDK suite for accelerating applications in self-driving cars, VR, computer vision, HPC, and intelligent machines.

GTC makes it easier to learn about GPU technology by providing content in a single location. GTC offers a slew of Tracks that cater to many different tastes and needs to round out your experience.

AI for Analytics and Security

GPUs accelerate data processing, analytics and visualization so DoD, Government, intelligence, and security agencies get more accurate and actionable insight. Learn the latest on how AI and deep learning are accelerating intelligent video analytics for smart cities, object detection for improved geospatial intelligence, accelerating analytics for more effective cyber security and much more.


AI in Healthcare

Physicians, scientists, researchers are using AI and deep learning to advance healthcare, pharmaceutical, and biomedical research. Explore how GPUs are driving AI to enable precision medicine, improve population health management, and enhance patient care. Dive deep into the latest AI advancements in genomics, medical imaging, drug discovery, and much more.


AI for Smart Cities and IoT

This is one of the fastest-growing and most impactful areas in computing today. Learn how embedded GPUs and the NVIDIA Jetson platform are implementing AI on the edge. See the latest advances in industrial IoT, computer vision, robots, drones, and Intelligent Video Analytics (IVA) across Government, Security, Smart Cities, and Analytics.


High-Performance Computing (HPC)

Learn about GPU breakthroughs across accelerated computing using deep learning, simulation, and visualization. Disciplines including exascale, weather forecasting, energy exploration, and computational fluid dynamics are reaping the benefits of GPU-accelerated computing to drive scientific discovery. Explore sessions in an array of computational research and computer science domains, plus hands-on developer labs and tutorials at GTC DC.


VR and Simulation

Learn how Virtual Reality (VR) is revolutionizing professional workflows. Whether holding virtual models in your hands, walking through entire virtual buildings, simulating combat mission rehearsal or rehearsing complex surgical procedures in virtual environments, see how GPUs are revolutionizing how VR is used in industry.


Developer Tools

Discover NVIDIA's developer tools. Get release details on CUDA 9.0 for Volta, our latest GPU development toolkit for high performance GPU-accelerated applications. Dive into Deep Learning SDK and outstanding resources like cuDNN, Tensor RT, NCCL and NVIDIA DIGITS which accelerate workloads in frameworks like TensorFlow, Caffe2, CNTK, Torch, and more. See the complete NVIDIA SDK suite for accelerating applications in self-driving cars, VR, computer vision, HPC, and intelligent machines.