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GTC ON-DEMAND

Presentation
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Abstract:
This European customer panel brings together A.I. implementers who have deployed deep learning at scale using NVIDIA DGX Systems. We'll focus on specific technical challenges we faced, solution design considerations, and best practices learned from implementing our respective solutions. Attendees will gain insights such as: 1) how to set up your deep learning project for success by matching the right hardware and software platform options to your use case and operational needs; 2) how to design your architecture to overcome unnecessary bottlenecks that inhibit scalable training performance; and 3) how to build an end-to-end deep learning workflow that enables productive experimentation, training at scale, and model refinement.
This European customer panel brings together A.I. implementers who have deployed deep learning at scale using NVIDIA DGX Systems. We'll focus on specific technical challenges we faced, solution design considerations, and best practices learned from implementing our respective solutions. Attendees will gain insights such as: 1) how to set up your deep learning project for success by matching the right hardware and software platform options to your use case and operational needs; 2) how to design your architecture to overcome unnecessary bottlenecks that inhibit scalable training performance; and 3) how to build an end-to-end deep learning workflow that enables productive experimentation, training at scale, and model refinement.  Back
 
Topics:
Artificial Intelligence and Deep Learning
Type:
Panel
Event:
GTC Europe
Year:
2018
Session ID:
E8114
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Abstract:

We'll share an overview of how the auto-tagging technology-as-a-service and model has evolved in the last decade and how it's expected to develop in the future. We'll provide an overview how the demands, the challenges, and the solutions have evolved, what are the current ones and what's the road ahead.

We'll share an overview of how the auto-tagging technology-as-a-service and model has evolved in the last decade and how it's expected to develop in the future. We'll provide an overview how the demands, the challenges, and the solutions have evolved, what are the current ones and what's the road ahead.

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Topics:
Computer Vision, AI Startup
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7794
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Abstract:
We'll demonstrate how scalable image recognition based on deep-learning can greatly contribute to business cases varying from advertising and user profiling to content management and cloud services. We'll also discuss the technical challenges of providing scalable image recognition capable of handling huge loads of images, instant feedback loops, and customer-specific recognition tasks, and how we've addressed them using GPUs in the cloud. Ultimately, you'll benefit from our experience handling 80+ different practical cases and dive deep into the most exciting ones.
We'll demonstrate how scalable image recognition based on deep-learning can greatly contribute to business cases varying from advertising and user profiling to content management and cloud services. We'll also discuss the technical challenges of providing scalable image recognition capable of handling huge loads of images, instant feedback loops, and customer-specific recognition tasks, and how we've addressed them using GPUs in the cloud. Ultimately, you'll benefit from our experience handling 80+ different practical cases and dive deep into the most exciting ones.  Back
 
Topics:
Computer Vision, Big Data Analytics, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6534
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