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GTC ON-DEMAND

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Abstract:

Get an inside look at the world's most powerful AI system, NVIDIA DGX-2. Explore the design and hardware architecture that enables sixteen Tesla Volta GPUs to operate as one giant GPU. Find out how NVIDIA DGX-2 can enable you to explore and solve the most complex AI challenges.

Get an inside look at the world's most powerful AI system, NVIDIA DGX-2. Explore the design and hardware architecture that enables sixteen Tesla Volta GPUs to operate as one giant GPU. Find out how NVIDIA DGX-2 can enable you to explore and solve the most complex AI challenges.

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Topics:
Accelerated Data Science
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1828
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Abstract:

NVIDIA DGX Systems powered by Volta deliver breakthrough performance for today''s most popular deep learning frameworks. Attend this session to hear from DGX product experts and gain insights that will help researchers, developers, and data science practitioners accelerate training and iterate faster than ever. Learn (1) best practices for deploying an end-to-end deep learning practice, (2) how the newest DGX systems including DGX Station address the bottlenecks impacting your data science, and (3) how DGX software including optimized deep learning frameworks give your environment a performance advantage over GPU hardware alone.

NVIDIA DGX Systems powered by Volta deliver breakthrough performance for today''s most popular deep learning frameworks. Attend this session to hear from DGX product experts and gain insights that will help researchers, developers, and data science practitioners accelerate training and iterate faster than ever. Learn (1) best practices for deploying an end-to-end deep learning practice, (2) how the newest DGX systems including DGX Station address the bottlenecks impacting your data science, and (3) how DGX software including optimized deep learning frameworks give your environment a performance advantage over GPU hardware alone.

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Topics:
Accelerated Data Science, Computer Vision, HPC and AI
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23370
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