Watch a replay of NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2018 in Silicon Valley, where he unveiled a series of advances to NVIDIA’s deep learning computing platform that deliver a 10x performance boost on deep learning workloads; launched the Quadro GV100 GPU, transforming workstations with 118.5 TFLOPS of deep learning performance; introduced NVIDIA DRIVE Constellation to run self-driving car systems for billions of simulated miles, and much more.
Jump ahead to:
2:38 - NVIDIA founder and CEO Jensen Huang takes the stage
3:53 - Computer graphics and NVIDIA RTX ray-tracing technology
11:40 - Epic Games' Star Wars themed "Reflections" demo, with real-time ray tracing
19:06 - Announcing Quadro GV100 with NVIDIA RTX
27:54 - Rise of GPU computing - science needs supercharged computers
38:17 - Project Clara medical imaging supercomputer demo
48:24 - Introducing Tesla V100 GPU with 32GB of HBM2 memory
54:30 - Introducing the world's largest GPU, NVIDIA DGX-2 with NVSwitch
1:08:55 - Advancing the software stack for AI inferencing with TensorRT 4, NVIDIA GPU Cloud
1:23:20 - Kubernetes on NVIDIA GPUs
1:33:45 - NVIDIA Research conditional GANs demo
1:37:56 - Future of autonomous vehicles - data is the new source code
1:49:25 - Self-driving car technology demo, NVIDIA DRIVE roadmap with Orin
2:00:31 - VR simulated training demo, announcing NVIDIA DRIVE Constellation and DRIVE Sim
2:11:18 - Robotics boosts every industry, introducing SDK for NVIDIA Isaac robotics platform
2:14:45 - Remote control of autonomous car in VR using NVIDIA Holodeck
2:22:17 - The GPU computing revolution continues
Jump ahead to:
2:38 - NVIDIA founder and CEO Jensen Huang takes the stage
3:53 - Computer graphics and NVIDIA RTX ray-tracing technology
11:40 - Epic Games' Star Wars themed "Reflections" demo, with real-time ray tracing
19:06 - Announcing Quadro GV100 with NVIDIA RTX
27:54 - Rise of GPU computing - science needs supercharged computers
38:17 - Project Clara medical imaging supercomputer demo
48:24 - Introducing Tesla V100 GPU with 32GB of HBM2 memory
54:30 - Introducing the world's largest GPU, NVIDIA DGX-2 with NVSwitch
1:08:55 - Advancing the software stack for AI inferencing with TensorRT 4, NVIDIA GPU Cloud
1:23:20 - Kubernetes on NVIDIA GPUs
1:33:45 - NVIDIA Research conditional GANs demo
1:37:56 - Future of autonomous vehicles - data is the new source code
1:49:25 - Self-driving car technology demo, NVIDIA DRIVE roadmap with Orin
2:00:31 - VR simulated training demo, announcing NVIDIA DRIVE Constellation and DRIVE Sim
2:11:18 - Robotics boosts every industry, introducing SDK for NVIDIA Isaac robotics platform
2:14:45 - Remote control of autonomous car in VR using NVIDIA Holodeck
2:22:17 - The GPU computing revolution continues
- Category
- Computing
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