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GTC ON-DEMAND

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Abstract:

With the growth in demand of Intelligent Video Analytics (IVA), NVIDIA virtual GPUs provides a secure solution while optimizing GPU utilization for inference-based deep learning applications for loss prevention, facial recognition, pose estimation, and many other use cases.

With the growth in demand of Intelligent Video Analytics (IVA), NVIDIA virtual GPUs provides a secure solution while optimizing GPU utilization for inference-based deep learning applications for loss prevention, facial recognition, pose estimation, and many other use cases.

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Topics:
GPU Virtualization, Consumer Engagement & Personalization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9883
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Abstract:

Today, containers are an easy way to deploy GPU accelerated libraries on development environment. RAPIDS is a set of DataScience libraries accelerated on GPU available today to a data scientist within an organization. Deploying RAPIDS on cloud in containers hepls democratizing access to accelerated computing. Deploying these containers in data centers on vGPUs help maximize hardware utilization and optimize budget-driven capital expenditures by sharing hardware resources among a team of users. With GPU-accelerated CUDA-X AI, data scientists can realize value from insights faster than with CPUs systems.

Today, containers are an easy way to deploy GPU accelerated libraries on development environment. RAPIDS is a set of DataScience libraries accelerated on GPU available today to a data scientist within an organization. Deploying RAPIDS on cloud in containers hepls democratizing access to accelerated computing. Deploying these containers in data centers on vGPUs help maximize hardware utilization and optimize budget-driven capital expenditures by sharing hardware resources among a team of users. With GPU-accelerated CUDA-X AI, data scientists can realize value from insights faster than with CPUs systems.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9050
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