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The problem is that transferring data to/from GPUs is already problematic performance wise. I guess it depends on your application whether the data transfer rat
by tachyonbeam 10y ago
The problem is that transferring data to/from GPUs is already problematic performance wise. I guess it depends on your application whether the data transfer rate hit is acceptable or not.
- zitterbewegung 10y agoLooks like the use case that they have in mind is focused on CAD / CAM. Don't see much mention about deep learning and I would guess that isn't being targeted at all.
- erichocean 10y agoI'm in the process of moving our local graphics workstations to GRID-powered workstations on AWS, with Raspberry Pi 3 "heads" and 1080p 60fps streams. The goal is to cut our capital costs, allow access to GPU-based graphics apps "anywhere", and host all of our virtual film production assets on AWS, where they are accessible for rendering, simulation, etc.