Engineering and manufacturing workflows are evolving rapidly. CAD, CAE, simulation, visualization, and AI are no longer separate disciplines — they’re converging into unified, compute-intensive workflows that demand more from hardware, software, and infrastructure.
To stay competitive, engineering teams must support real-time simulation, digital twins, generative design, and AI-powered analysis — whether work is happening at the desktop, in the data center, or across remote and mobile environments.
This special Cadalyst report, produced in collaboration with Lenovo and NVIDIA, examines how modern, GPU-accelerated workstations are enabling engineers to tackle today’s most demanding workloads while preparing for what comes next.
Drawing on real-world examples from automotive manufacturing, software development, and distributed engineering teams, the report explores how advances in workstation architecture, professional GPUs, and AI-ready platforms are reshaping design and simulation workflows across industries.
Inside, you’ll discover how engineering and manufacturings teams are:
Running multi-domain simulations and digital twins with interactive, real-time feedback
Using GPU acceleration to bring AI model training, fine-tuning, and inference onto the desktop
Supporting generative design, visualization, and XR workflows without relying solely on the cloud
Enabling remote and mobile engineers with workstation-class performance from anywhere
Preparing infrastructure for converged CAD/CAE, AI, and visualization workflows
Discover how future-ready hardware is helping engineering teams move faster, iterate more efficiently, and unlock new innovation.