Description
The workstation GPU that handles your Revit models and 3ds Max renders may be showing its age not because Autodesk got more demanding, but because AI did.
Local AI tools are rapidly becoming part of how design and engineering professionals work: generating concepts, automating repetitive tasks, and running inference without sending sensitive project data to the cloud. These workloads are GPU-hungry, and they compete directly with your Autodesk applications for the same critical resource: graphics memory.
In this session, we'll give Autodesk users a practical framework for understanding GPU memory requirements across the workflows that matter to them. You'll see how real Autodesk applications perform under varying VRAM configurations, what happens when local AI enters the picture, and where the common pain points emerge. We'll also look at what the next generation of workstation GPUs brings to the table and whether an upgrade is warranted or premature.
Key Learnings
- Explain how local AI workflows are changing workstation hardware requirements
- Evaluate the impact of GPU memory (VRAM) on Autodesk workflows
- Identify common performance bottlenecks
- Compare workstation configurations with different VRAM capacitie