October 21, 2022
The emergence of new, more powerful GPUs and engineering workstations laid the groundwork for a revolution in engineering workflows. New software tools that leverage GPU acceleration and take advantage of higher core counts have enabled these complex workflows and pointed the way toward a new approach to design, simulation and visualization. The articles in this digital edition were selected to highlight these new workflows and capabilities.
Download this just released special issue from the Advanced Product Development Resource Center (APDRC), including 11 recent stories that highlight these new workflows and capabilities.
INCLUDED IN THIS SPECIAL ISSUE
- Built for Speed. Trek Bicycle uses powerful NVIDIA RTX™ technology to enable multi-application workflows.
- NVIDIA RTX™ GPU Power in the Toy Box. Designer Alessandro Pasotti leverages a Dell Precision workstation and NVIDIA RTX™ technology to boost his performance by as much as 20%.
- In the Path of the Wildfires. Lockheed Martin uses AI-powered simulation in Omniverse to study and predict wildfires.
- Case Study: Fashionable Approach to 3D Design Designer Lui Iarocheski uses advanced CLO3D design software and a powerful workstation that takes advantage of NVIDIA RTX™ technology to create advanced, digital fashion designs.
- And more!
Download today
Latest News
Online FEA and CFD Classes Becoming the Norm
Virtual classrooms make specialist skills more accessible.
Dyndrite Unveils New SMART Script
New automation standard is developed as part of the ASTM Consortium.
PTC and Configit Partner for Product Configurations
Integrating CLM and PLM enables a streamlined approach to configuration management, companies report.
DeskProto V8 Now Released
New release features CNC toolpaths for V-Carving, company says.
University of Maine Embarks on Build of Factory of the Future
Construction starts on sustainable manufacturing research facility at UMaine.
Rackspace Technology Unveils On-Demand GPU as a Service
GPUaaS designed to provide customers on-demand access to accelerated resources for AI, machine learning, data analytics, and graphics rendering workloads.
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