Sponsored
Hardware choice for product development is not a one-size-fits-all proposition. Solving complex engineering problems requires high-powered workstations. From the CAD-heavy concept phase and CAE-heavy analysis phase to large-scale design explorations and visualization workflows, the process demands different systems.
In this webinar, Lenovo and NVIDIA experts offer tips and guidance on matching the systems to the tasks at hand, and answer your questions.
Tune to learn:
Please register and submit your questions and concerns beforehand for the LIVE Q&A.
You can register for the webinar here.


Himanshu Iyer
Sr Industry Manager, Manufacturing/Product Development
NVIDIA

John Pate
Product Line Manager for Workstations
Lenovo

Moderator: Kenneth Wong
Senior Editor
Digital Engineering


Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and…
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
Brian Albright is the editorial director of Digital Engineering.
Contact him at [email protected].

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.