![]() ![]() It is possible for AMD too with further googling. The games themselves would then be streamed to the front-end Mac using Steam In-Home Streaming.ĭISCLAIMER: this post is tailored towared Intel and Nvidia hardware, as I do not own any AMD hardware. We aim to achieve to run games in a Windows10 Virtual Machine (VM) on the back-end host with GPU passthrough. This can be circumvented with a low-end GPU, specifically used for driving the display.Īs most games are primarily developed for Windows (albeit recently more and more are being released on the Mac also), this post solves a problem for a setup that is tailored to a front-end/back-end workflow. In the case of doing development on the same computer as training models, and if the training process is running on the same GPU as the one that is driving the display, the UI may become slow and laggy with possible crashes as graphics resources become limited. A desktop environment is actually not needed, and better if it doesn’t run at all (hence the server install). As the system is used specifically for computations there are no monitors or kb/m attached, and can only be accessed through shell and SSH. The headless machine is a Ubuntu 18.04 LTS server with 2 GPUs installed. This means I can use my low-powered MacBook as the front end and daily driver, with a high-powered headless computer/server as the backend for training. deploy on large scale server for training. With the requirement of high-powered GPUs, my work flow adapted to a 2 step process 1. Now working in the field of deep learning, macOS is still my main platform driver. With macOS being UNIX at heart definitely have helped with a lot of programming assignments through university. Having used Windows and macOS as my primary OS for 10 years each equally (Windows: 2001-2011 and macOS: 2009-present), I have found the UI of macOS more intuitive and easier to use, especially with Apple’s philosophy of ‘it just works’. ![]() Being a developer, my platform of choice is first and foremost macOS.
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