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Description
The Jetson platform by NVIDIA stands out as a premier embedded AI computing solution, employed by seasoned developers to craft innovative AI products across a multitude of sectors, while also serving as a valuable resource for students and hobbyists eager to engage in practical AI experimentation and creative endeavors. This versatile platform features compact, energy-efficient production modules and developer kits that include a robust AI software stack, enabling efficient high-performance acceleration. Such capabilities facilitate the deployment of generative AI on the edge, thereby enhancing applications like NVIDIA Metropolis and the Isaac platform. The Jetson family encompasses a variety of modules designed to cater to diverse performance and power efficiency requirements, including models like the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is meticulously crafted to address specific AI computing needs, accommodating a wide spectrum of projects ranging from beginner-level initiatives to complex robotics and industrial applications, ultimately fostering innovation and development in the field of AI. Through its comprehensive offerings, the Jetson platform empowers creators to push the boundaries of what is possible in AI technology.
Description
The security of connected embedded system devices is crucial, particularly for systems that must maintain high availability and support mission-critical functions. In the current landscape of increasing cyber threats, it is essential for connected embedded systems utilized in various sectors such as industrial controls, transportation, navigation, communications, aerospace, military, healthcare, and logistics to implement robust security measures from the moment of deployment and throughout their entire life cycle. As product developers face pressure to expedite their go-to-market strategies, many opt to incorporate third-party software components, whether open source or proprietary, to fulfill essential product requirements. Traditionally, security audits are conducted only at the conclusion of the development and testing phases, just prior to the launch of the products. This late-stage approach can often overlook vulnerabilities that may arise earlier in the development process, highlighting the need for a more integrated security strategy throughout the entire lifecycle of connected embedded systems.
API Access
Has API
API Access
Has API
Integrations
CUDA
Flower
NVIDIA DeepStream SDK
NVIDIA Metropolis
NVIDIA TensorRT
Integrations
CUDA
Flower
NVIDIA DeepStream SDK
NVIDIA Metropolis
NVIDIA TensorRT
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/embedded-computing
Vendor Details
Company Name
Timesys Corporation
Founded
1996
Country
United States
Website
timesys.com/security/secure-by-design-original/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)