Like many industry events this year, NVIDIA GTC21 adopted a virtual format. Organizers had to tap their creativity and innovate to produce this year’s GTC– which is fitting since the event is the premier gathering of innovators.
The event, which begins at 8:30 a.m. on April 12, features a jam-packed agenda covering autonomous machines and robots, virtualizations, edge computing, data science, deep learning, game development, GPU programming, graphics design and simulation, and more. GTC21 offers you options for how to explore these topics, including presentations and trainings.
GTC21 is the annual flagship event for NVIDIA, and because ADLINK is a NVIDIA Quadro Embedded Partner, Jetson Elite Partner, and OEM Preferred Partner, it’s also the flagship event for us.
Who Should Put GTC21 on the Calendar?
If you’re a computer or hardware builder, AI developer, or if you’re responsible for deploying edge computing solutions, building autonomous robots, or developing deep learning algorithms — you need to attend.
We’re looking forward to reconnecting and meeting new solution architects, engineers, system integrators, OEMS, and ODMs in engineering, construction, automotive, healthcare, manufacturing, and intelligent video analytics (IVA). Whether you are an established veteran in these industries, just starting your career, or looking for information that will fuel progress toward turning a great idea a reality, the conference is time well spent.
ADLINK Presentations at GTC21
GTC21 is the perfect opportunity to learn tips and tricks to accelerate your edge AI deployments with ADLINK. Don’t miss these live or on-demand sessions:
How to Improve Speed and Accuracy in Medical Imaging
Zane Tsai, Director of ADLINK’s EPM-Platforms Product Center, will update medical equipment manufacturers on strategies for providing healthcare professionals with real-time visual guidance and enhanced image quality. Solutions leveraging embedded GPU modules deliver images better and faster to help doctors make diagnosis and treat patients.
Solutions built on ADLINK and NVIDIA embedded GPU also support high-performance equipment with smaller form factors and lower energy requirements, enabling healthcare providers to move them where they’re needed, whether across multiple operating rooms or in clinics.
Zane will dive deep into the components your need for your flexible, scalable projects. He will discuss embedded GPU modules based on Turing architecture: real-time ray-tracing (RT) cores that create computer-generated volumetric images — vital functionality for medical imaging – and Tensor cores that accelerate complexity and matrix operations. He will also cover GPU computing platforms covering x86 with MXM and ODM customizations.
Driving Operational Efficiency with NVIDIA Transfer Learning Toolkit, Pre-trained Models, and DeepStream SDK
Toby McClean, VP, IoT Technology and Innovation for ADLINK, will show you how ADLINK is driving vision AI outcomes using NVIDIA SDKs, including DeepStream, Transfer Learning Toolkit (TLT), and pre-trained models.
You’ll learn how to build solutions that are easy to run and scale, as well as get an inside view of current use cases, such as intelligent video analytics (IVA). ADLINK Smart Cameras give eyes to robots and enable building virtual fences that make human-robot collaboration safer.
Overcome Challenges of Edge AI – Optimize Edge AI for Both Performance and SWaP
AI at the edge is springing to the forefront for its ability to improve performance, productivity, and efficiency. However, solution architects face the challenge of choosing optimal hardware, AI network, and framework. Edge AI also creates the challenge of computing in a wider variety of environments, including harsh industrial and outdoor settings.
Olivia Chan, Senior Product Manager, EPM, BU at ADLINK, is focusing her GTC21 session on successful edge AI strategies and current use cases, including replacing automated guided vehicles (AGVs) on automotive assembly lines with autonomous mobile robots (AMRs) that operate without human intervention. She will also address how ADLINK’s edge AI platform addresses AMRs’ size, weight, and power (SWaP) requirements and NVIDIA system-on-modules (SOM) enable robots to process data from multiple sensors, including lidars and cameras, so that they can navigate safely, change routes as needed, and learn from their environments.
More Advantages of This Year’s Virtual GTC
Although networking and continuing education at in-person industry events offer an array of benefits, virtual conferences also have plusses. You get the same education and information — but without losing days out of the office and worrying about a dress code — tune in when it’s convenient and come as you are. Registration is free!
Looking forward to meeting you online at GTC21 starting April 12th!
Register here: https://nvda.ws/3dRg58V
