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GTC ON-DEMAND

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Abstract:

NVSwitch on the DGX-2 is a super crossbar switch which greatly increases the application performance in several ways. First, it increases the problem size capacity traditionally limited by a single GPU's memory to the aggregate DGX-2 GPU memory of 512 GB. Second, NUMA-effects of traditional multi-GPU servers are greatly reduced, growing memory bandwidth with the number of GPUs. Finally, ease-of-use is simplified as apps written for a smaller number of GPUs can now be more easily ported with the large memory space. 

NVSwitch on the DGX-2 is a super crossbar switch which greatly increases the application performance in several ways. First, it increases the problem size capacity traditionally limited by a single GPU's memory to the aggregate DGX-2 GPU memory of 512 GB. Second, NUMA-effects of traditional multi-GPU servers are greatly reduced, growing memory bandwidth with the number of GPUs. Finally, ease-of-use is simplified as apps written for a smaller number of GPUs can now be more easily ported with the large memory space. 

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Topics:
Accelerated Data Science
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1808
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Abstract:
Every industry has data and today data is driving an AI-powered transformation of industries around the world. It is no longer possible for companies to hire enough computer programmers to process and understand their data, about customers, about machines, about processes, about everything they do. But a new generation of AI applications are effectively becoming programs that write software, powered by data, vs by computer programmers. Today, NVIDIAs tensor core GPU sits at the core of most AI applications, and NVIDIA software surrounds every level of a modern AI application, from CUDA and libraries like cuDNN and NCCL embedded in every deep learning framework and optimized and delivered via the NVIDIA GPU Cloud.
Every industry has data and today data is driving an AI-powered transformation of industries around the world. It is no longer possible for companies to hire enough computer programmers to process and understand their data, about customers, about machines, about processes, about everything they do. But a new generation of AI applications are effectively becoming programs that write software, powered by data, vs by computer programmers. Today, NVIDIAs tensor core GPU sits at the core of most AI applications, and NVIDIA software surrounds every level of a modern AI application, from CUDA and libraries like cuDNN and NCCL embedded in every deep learning framework and optimized and delivered via the NVIDIA GPU Cloud.  Back
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Talk
Event:
AI Conference Australia
Year:
2018
Session ID:
AUS8001
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Abstract:
深度學習揭密第一次在GTC Taiwan 分享給大眾,什麼是深度學習?為什麼這幾天突然深度學習變成顯學?為什麼GPU 在深度學習領域扮演了重要的領域?該如何入門?我的公司適合導入深度學習嗎?透過NVIDIA 來解密
深度學習揭密第一次在GTC Taiwan 分享給大眾,什麼是深度學習?為什麼這幾天突然深度學習變成顯學?為什麼GPU 在深度學習領域扮演了重要的領域?該如何入門?我的公司適合導入深度學習嗎?透過NVIDIA 來解密  Back
 
Topics:
HPC and Supercomputing, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Taiwan
Year:
2018
Session ID:
STW8008
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Abstract:

Come to this session to learn about the latest innovations for GPU computing and visualization from HP. The new ProLiant Gen8 SL servers and workstation blades will be featured for solutions like accelerated HPC applications, cloud visualization and virtualized desktops. Real world customer use cases from the manufacturing/engineering and Oil&Gas segments will be highlighted. You will also learn everything you need to get started with a GPU clusters in a single, easy-to-use HP GPU cluster starter kit.

Come to this session to learn about the latest innovations for GPU computing and visualization from HP. The new ProLiant Gen8 SL servers and workstation blades will be featured for solutions like accelerated HPC applications, cloud visualization and virtualized desktops. Real world customer use cases from the manufacturing/engineering and Oil&Gas segments will be highlighted. You will also learn everything you need to get started with a GPU clusters in a single, easy-to-use HP GPU cluster starter kit.

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Topics:
Clusters & GPU Management, Cloud Visualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2013
Session ID:
S3536
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Abstract:
NVIDIA에서 전 세계에 있는 솔루션 아키텍처와 엔지니어링팀을 이끌고 있는 Marc Hamilton은 글로벌 고객과 파트너에게 인공지능, 딥 러닝, 프로페셔널 비주얼라이제이션, 그리고 고성능 컴퓨팅을 위한 세계 최고의 엔드 투 앤드(End-to-end) 솔루션을 제공하고 있습니다. 이번 키노트에서 가장 최신의 AI 기술 트렌드와 현재 NVIDIA가 어떻게 다양한 산업군에 걸쳐 AI 혁신을 가져오고 있는지 소개합니다
NVIDIA에서 전 세계에 있는 솔루션 아키텍처와 엔지니어링팀을 이끌고 있는 Marc Hamilton은 글로벌 고객과 파트너에게 인공지능, 딥 러닝, 프로페셔널 비주얼라이제이션, 그리고 고성능 컴퓨팅을 위한 세계 최고의 엔드 투 앤드(End-to-end) 솔루션을 제공하고 있습니다. 이번 키노트에서 가장 최신의 AI 기술 트렌드와 현재 NVIDIA가 어떻게 다양한 산업군에 걸쳐 AI 혁신을 가져오고 있는지 소개합니다  Back
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Keynote
Event:
AI Conference Korea
Year:
2019
Session ID:
SKR9101
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