Name: Adapting AI to Complex Industrial Environments with NVIDIA TAO, Metropolis, and Fleet Command
Uploaded: 2021-04-13T17:07:50.000Z
Duration: 2 min 14 s
Description: Adapting, deploying, and managing AI-enabled applications for many unique sites can be incredibly challenging. Watch to learn how NVIDIA Train, Adapt, and Optimize (TAO) quickly adapts and optimizes AI models for site-specific NVIDIA Metropolis™ apps and makes deployment and management easy with NVIDIA Fleet Command™.

Customer Engagement

Help Desk

Web and Video Conferencing

Customer Support

Functional Testing

Development

Business Intelligence (BI)

Collaboration

Contract Analysis

Enterprise Search

Enterprise

Accounting

CTRM

Financial Research

Financial Risk Management

Finance and Accounting

Applicant Tracking

Compensation Management

Corporate Learning Management

HR Management

On-Demand Payment

Payroll

Resume Parsing

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printers

3D Printing

API Design

Cloud Migration

Cloud Storage

Component Content Management

Configuration Management

Data Pipeline

Database DevOps

DevOps

Disk Cloning

Fraud Detection

Integration Platform as a Service (iPaaS)

Interoperability

M2M Application Development

Managed Public Cloud Infrastructure

Network Performance Monitoring

Product Implementation Services

Relational Database Management Systems

SaaS Backup

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Data Management

Digital Experience Platforms (DXP)

Email Marketing

Location Intelligence

Marketing Attribution

Marketing Automation

Referral Marketing

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Intelligent Virtual Assistant

Sales Enablement

Sales Training

Sales

Data Loss Prevention

Security

Awards Management

Construction Accounting

Construction Takeoff and Estimating

Digital Forensics

Fleet Management

Hospital Management

Insurance Agency Management

Veterinary

Vertical-Specific

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Pytorch

Open Source

Keras

Oracle Machine Learning

Oracle

Google Cloud AI

Google

TensorFlow

IBM watsonx.ai

Azure Machine Learning

Microsoft

OpenAI API

OpenAI

Amazon Deep Learning AMIs

Amazon AWS

The NVIDIA TAO Toolkit is developed to streamline the creation of AI models for vision AI applications, ensuring both accuracy and customization.

## Key Features

**AutoML Capability**: According to the vendor, the TAO Toolkit's AutoML capability eliminates the need for manual tuning, enabling efficient model training and potentially faster solutions.

**State-of-the-Art Vision Transformers**: The TAO Toolkit incorporates advanced vision transformers for computer vision tasks, potentially outperforming traditional CNN-based models in terms of accuracy and robustness.

**Optimization for Inference**: Developers can optimize models for inference throughput, potentially achieving up to 4X performance improvement compared to customization alone.

**Deployment on Any Device**: The TAO Toolkit allows for the deployment of optimized models on various devices, including GPUs, CPUs, MCUs, and more, according to the vendor.

**AI-Assisted Data Annotations**: The toolkit provides AI-assisted annotation capabilities, such as the Mask Auto Labeler (MAL), facilitating efficient and cost-effective labeling of segmentation masks and object detection bounding boxes.

**Integration with Rest APIs**: Developers can easily integrate TAO Toolkit into their applications using REST APIs, enabling automation and deployment in cloud-native infrastructures.

**AutoML for Hyperparameter Tuning**: The TAO Toolkit offers AutoML functionality, automatically fine-tuning hyperparameters to simplify and potentially speed up the AI training process.

**Cloud Deployment**: The TAO Toolkit is cloud-native, providing agility, scalability, and portability for managing and deploying AI applications, according to the vendor. It can be deployed on leading cloud providers and integrated with cloud machine learning services.

**Inference Performance**: According to the vendor, the TAO Toolkit leverages NVIDIA pretrained models to potentially unlock peak inference performance across platforms, from edge devices to cloud environments.

NVIDIA Train, Adapt, and Optimize (TAO) is a GUI-based, workflow-driven framework that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pretrained models, enterprises can produce domain specific models in hours rather than months, eliminating the need for large training runs and deep AI expertise

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

Qlik Sense Enterprise on Windows

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Premium

Qlik Sense

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Business Tier

Enterprise Tier

Free Tier

Anaconda

NVIDIA TAO

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Latest Nvidia TAO Toolkit with TensorBoard integration Demo

Nvidia offers computer hardware, as well as virtual desktop products.

NVIDIA

Adapting, deploying, and managing AI-enabled applications for many unique sites can be incredibly challenging. Watch to learn how NVIDIA Train, Adapt, and Optimize (TAO) quickly adapts and optimizes AI models for site-specific NVIDIA Metropolis™ apps and makes deployment and management easy with NVIDIA Fleet Command™.

Adapting AI to Complex Industrial Environments with NVIDIA TAO, Metropolis, and Fleet Command

Adapting, deploying, and managing AI-enabled applications for many unique sites can be incredibly challenging. Watch to learn how NVIDIA Train, Adapt, and Optimize (TAO) quickly adapts and optimizes AI models for site-specific NVIDIA Metropolis™ apps and makes deployment and management easy with NVIDIA Fleet Command™.

Learn more about NVIDIA TAO: https://nvda.ws/3e6CL3l

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Key Features