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GTC ON-DEMAND

AI Application Deployment and Inference
Presentation
Media
Putting AI to Work in an Enterprise: Deep Learning as a Service (Presented by IBM)
Abstract:
Now that Deep learning has moved out of the lab and into production, how do you provide training environments to all your internal customers working across business units with different requirements and avoid provisioning separate clusters? IBM has applied decades of HPC experience to build a production ready learning stack, including servers accelerated with NVIDIA GPUs, workload and resource management software, ready to use open source frameworks and it's all covered by IBM support. The solution provides a secure multi-tenant environment so multiple data scientists can share a common set of resources, eliminating silos, while running multiple instances of the same or different applications. The deep learning effort is enhanced with end-to-end pipeline support from data ingestion and preparation, through model training and tuning, to inference. In this session, we will explore what an enterprise deep learning environment looks like and provide insights into the unique IBM value for accelerating the use of deep learning across a wide variety of industries.
 
Topics:
AI Application Deployment and Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S81049
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