Article
Article
Article

Generative Design Synthesis with Intel-based Data Science Workstations | David Liu

Share this Article

Generative Design Synthesis with Intel-based Data Science Workstations

The right hardware can help you accelerate generative design workloads



 

While having near-infinite compute resources available in the cloud is key to most generative design workflow strategies, your edge hardware is also important—including your workstation. For the kind of data science tasks that lead into generative design synthesis, single-node systems with high memory spans may yield the best results. David Liu of Intel shares the systems and workstations that can help you make generative design a standard part of your design process.

About the speaker

David Liu is a lead AI solutions engineer with Intel. He is a software engineer with a background in hardware, focusing on solutions for AI and machine learning.

Related learning

Find out more about workstations for design and generative design workloads with these resources.

CIO Town Hall: Cloud GPU Workstations Driving Higher Productivity at Home

CIOs from three companies share how they adapted to the requirements of the pandemic-driven lockdown and how they were able to support their teams at home by moving desktop services, apps, and data to the cloud.

Technology Showcase: The Ultimate Fusion 360 Workstation

James Neville shows the process to design, validate, and manufacture a fully optimized computer using Fusion 360, including features like electronics cooling simulation and generative fluid design.

An Introduction to IT for the Design Professional

Curt Moreno explains the processes and the hardware you need to effectively run design workloads, and how to handle them with remote teams. Get to know your servers, your backups, and your network basics.