- MacBook Pro (Retina, 15-inch, 2018) - MacBookPro 15,1
- CPU: 2.6 GHz Intel Core i7 (i7-8850H)
- GPUs: Intel UHD Graphics 630 + AMD Radeon Pro 560X
- Memory: 32GB
- HD: 1TB SSD
- macOS 10.14.6 Mojave
- Disconnect eGPU
- Start the MacBook Pro with Windows 10
- Hot-plugging eGPU
- Log into the Windows 10 – no errors and everything works fine
I was skeptical about the setup because I couldn't find any real case. So I brought a used Razer Core X to reduce my risk of possible financial loss. Everything seems really smooth so far. When training the Convolutional Neural Network model, the fans of the Titan RTX were running in their full capacity. However, surprisingly, they are not as aloud as I expected 🙂
Images of the setup
Thank you for your comments.
I have been benefited a lot from this website before I built up my eGPU. Hopefully, my brief guide can help clear up some doubts of building a portable ML with Titan RTX
I would love to share more if I can get the Titan RTX to work on the macOS.
Hello! This is exactly the setup I was looking for. Do you happen to have benchmarks to compare against a Titan RTX being used in a different setup (i.e., a more traditional setup such as a Windows desktop or workstation)? Many thanks.
I did not install the Titan RTX to other setups. However, I have a Lenovo P410 workstation with Xeon 3.5Ghz CPU, 64GB RAM, 512GB SSD, and Quadra M4000 8GB. When I was training the convolutional neural network on both machines, the MacBook Pro setup is 4X faster than the workstation.
Hopefully, such info will be helpful to you.