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GTC ON-DEMAND

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Abstract:
We'll talk about how the huge computing advances made in AI by the deep learning revolution of the last five years have pushed legacy hardware to its limits with the CPU, which must now run workloads it was not tailored for. This comes at a time when Moore's Law is tapering off, and the slowdown in the speed of increase single-threaded performance, thus requiring a new compute paradigm, accelerated computing, powered by massively parallel GPUs.
We'll talk about how the huge computing advances made in AI by the deep learning revolution of the last five years have pushed legacy hardware to its limits with the CPU, which must now run workloads it was not tailored for. This comes at a time when Moore's Law is tapering off, and the slowdown in the speed of increase single-threaded performance, thus requiring a new compute paradigm, accelerated computing, powered by massively parallel GPUs.  Back
 
Topics:
HPC and AI, AI & Deep Learning Research
Type:
Sponsored Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9981
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Abstract:
Overview of numerous GPU hardware platforms designed for today's taxing AI/machine learning and HPC workloads, including custom solutions targeted for Deep Learning Inferencing and Deep Learning Training. Talk will cover systems based on PCIe based GPUs as well as GPU systems with the NVLink interface.
Overview of numerous GPU hardware platforms designed for today's taxing AI/machine learning and HPC workloads, including custom solutions targeted for Deep Learning Inferencing and Deep Learning Training. Talk will cover systems based on PCIe based GPUs as well as GPU systems with the NVLink interface.  Back
 
Topics:
HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8999
Streaming:
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