NVIDIA1.7 млн
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Опубликовано 19 марта 2019, 20:53
Watch a replay of NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.
Jump ahead to:
2:58 - NVIDIA founder and CEO Jensen Huang takes the stage
6:12 - CUDA-X AI: GPU-accelerated computing libraries
15:03 - Unity “BMW” demo with NVIDIA RTX ray tracing
21:00 - NVIDIA Turing RTX architecture
26:45 - Demo: Dragonhound on Unreal Engine
29:30 - Demo: Quake II
34:52 - NVIDIA RTX support for 9 million creatives
37:04 - Demo: “Lost in Space” from Image Engine
41:14 - Demo: NVIDIA Omniverse open collaboration platform
49:09 - GeForce NOW cloud gaming system
53:56 - Announcing RTX Server and RTX Server POD
56:15 - Demo: Project Sol, part 3
1:00:42 - AI and HPC: Discovery with data science
1:08:38 - CUDA-X AI ecosystem
1:13:40 - Demo: Microsoft Bing AI conversational search
1:24:16 - Clara AI for medical imaging
1:28:50 - Demo: Charter Communications data science
1:42:15 - NVIDIA-powered Data Science Workstations
1:50:54 - NVIDIA T4 GPU-powered Data Science Servers
1:56:05 - Mellanox CEO Eyal Waldman on stage
2:06:15 - AWS VP Matt Garman on stage
2:13:33 - NVIDIA Jetson Nano and the Isaac open SDK
2:19:50 - Video: Jetson embedded computing in action
2:21:13 - Announcing NVIDIA DRIVE APX2 release 9.0
2:25:18 - Video: NVIDIA DRIVE self-driving car demo
2:27:49 - NVIDIA DRIVE Safety Force Field
2:31:59 - Demo: NVIDIA Constellation
2:37:08 - Toyota Research Institute-Advanced Development
2:38:20 - Wrapping up
And read the wrap-up blog at nvda.ws/2WbQg7j.
Jump ahead to:
2:58 - NVIDIA founder and CEO Jensen Huang takes the stage
6:12 - CUDA-X AI: GPU-accelerated computing libraries
15:03 - Unity “BMW” demo with NVIDIA RTX ray tracing
21:00 - NVIDIA Turing RTX architecture
26:45 - Demo: Dragonhound on Unreal Engine
29:30 - Demo: Quake II
34:52 - NVIDIA RTX support for 9 million creatives
37:04 - Demo: “Lost in Space” from Image Engine
41:14 - Demo: NVIDIA Omniverse open collaboration platform
49:09 - GeForce NOW cloud gaming system
53:56 - Announcing RTX Server and RTX Server POD
56:15 - Demo: Project Sol, part 3
1:00:42 - AI and HPC: Discovery with data science
1:08:38 - CUDA-X AI ecosystem
1:13:40 - Demo: Microsoft Bing AI conversational search
1:24:16 - Clara AI for medical imaging
1:28:50 - Demo: Charter Communications data science
1:42:15 - NVIDIA-powered Data Science Workstations
1:50:54 - NVIDIA T4 GPU-powered Data Science Servers
1:56:05 - Mellanox CEO Eyal Waldman on stage
2:06:15 - AWS VP Matt Garman on stage
2:13:33 - NVIDIA Jetson Nano and the Isaac open SDK
2:19:50 - Video: Jetson embedded computing in action
2:21:13 - Announcing NVIDIA DRIVE APX2 release 9.0
2:25:18 - Video: NVIDIA DRIVE self-driving car demo
2:27:49 - NVIDIA DRIVE Safety Force Field
2:31:59 - Demo: NVIDIA Constellation
2:37:08 - Toyota Research Institute-Advanced Development
2:38:20 - Wrapping up
And read the wrap-up blog at nvda.ws/2WbQg7j.
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