I am trying to develop a deep learning based model for automatic segmentation of medical data. I would be using the UNETR model for this purpose. I wanted to get some suggestions on the hardware that I can use to develop this model. Currently my laptop has:
- OS: Windows 10
- RAM: 32GB
- SSD: 1 TB
- GPU1: NVIDIA QUADRO T2000 with Max Q design with dedicated GPU memory of 4GB, and shared
GPU memory of 16 GB.
- GPU2: INTEL(R) UHD Graphics with shared GPU memory of 16GB.
The training dataset would consist of around 300-500 CTs. I needed some suggestions on what should I go with: an external GPU or a cloud based service. And what external GPUs would be a good option.