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GTC On-Demand

AI and DL Research
Presentation
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Supporting a DGX Air-Gapped Production Environments
This tutorial will cover the issues encountered when deploying NVIDIA DGX-1/DGXStation into secure environment. For security reasons, some installations require that systems be isolated from the internet or outside networks. Since most DGX-1 software updates are accomplished through an over-the-network process with NVIDIA servers, this session will walk the participants through how updates can be made by maintaining an intermediary server. This session will be a combination of lecture, live demos and along with detailed instructions.
This tutorial will cover the issues encountered when deploying NVIDIA DGX-1/DGXStation into secure environment. For security reasons, some installations require that systems be isolated from the internet or outside networks. Since most DGX-1 software updates are accomplished through an over-the-network process with NVIDIA servers, this session will walk the participants through how updates can be made by maintaining an intermediary server. This session will be a combination of lecture, live demos and along with detailed instructions.  Back
 
Keywords:
AI and DL Research, Data Center and Cloud Infrastructure, GTC Silicon Valley 2018 - ID S8568
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Quick and Easy DL Workflow Proof of Concept
Spin up a deep learning (DL) proof-of-concept on a budget. We'll walk you through a DL workflow in the cloud leveraging DIGITS, then download a trained model, and run inference on a Jetson TX2. This session considers multiple options such as Nimbix, AMI, and NGC on Tesla P100, Tesla V100, and NVIDIA DGX-1 servers. This tutorial will be a combination of lecture, live demos, and detailed instructions.
Spin up a deep learning (DL) proof-of-concept on a budget. We'll walk you through a DL workflow in the cloud leveraging DIGITS, then download a trained model, and run inference on a Jetson TX2. This session considers multiple options such as Nimbix, AMI, and NGC on Tesla P100, Tesla V100, and NVIDIA DGX-1 servers. This tutorial will be a combination of lecture, live demos, and detailed instructions.  Back
 
Keywords:
AI and DL Research, Accelerated Analytics, GTC Silicon Valley 2018 - ID S8286
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Data Center and Cloud Infrastructure
Presentation
Media
How to Use NGC Containers on AWS
We'll discuss how to use the NVIDIA GPU Cloud to easily run containerized Deep Learning applications. Come in only knowing the name NVIDIA GPU Cloud (NGC), and leave having successfully kicked off multiple Deep Learning containers. In this session we'll use the WebUI to log into NGC, run jobs based on those NVIDIA containers using Volta-powered AWS instances, and explore how to customize and integrate NGC containers into a Deep Learning workflow.
We'll discuss how to use the NVIDIA GPU Cloud to easily run containerized Deep Learning applications. Come in only knowing the name NVIDIA GPU Cloud (NGC), and leave having successfully kicked off multiple Deep Learning containers. In this session we'll use the WebUI to log into NGC, run jobs based on those NVIDIA containers using Volta-powered AWS instances, and explore how to customize and integrate NGC containers into a Deep Learning workflow.  Back
 
Keywords:
Data Center and Cloud Infrastructure, Deep Learning and AI Frameworks, GTC Silicon Valley 2018 - ID S8276
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