Hey everyone,
I’ve been exploring deep learning projects that require substantial computing power, and I’m curious about the feasibility of using AI desktop PCs instead of traditional workstations. Given advancements in hardware, some high-end desktops now come equipped with powerful CPUs, GPUs, and ample RAM.
In a real-world scenario, let’s say a researcher or developer is working on training large neural networks for image recognition or natural language processing. Would a high-spec AI desktop be sufficient, or do workstations still offer critical advantages in terms of performance, stability, and scalability?
I’d love to hear your thoughts on whether AI desktops can fully replace workstations for deep learning workloads. Has anyone tested this in a production setting?
Looking forward to your insights!