High VRAM Allocation on Ryzen APUs for Machine Lea

Message Topic Search Topic Options Post Reply Create New Topic Printable Version Translate Topic

   Hello ASRock Community,

I?�m currently exploring the potential of using Ryzen APUs (eg from the 5000 to 8000 series) for machine learning applications. Specifically, I am interested in configuring the VRAM allocation settings in the BIOS to support more than 16GB of VRAM. This capability would be beneficial for loading large models and datasets.

I have seen various discussions about increasing VRAM allocation using the ?�UMA Frame Buffer Size??setting in the BIOS. However, detailed user experiences about achieving allocations higher than 16GB are sparse.

My questions are:

     1.     Are there any documented cases where users have successfully set the VRAM allocation above 16GB on Ryzen APUs? Eg. 64GB.
     2.     Has this led to successful system boot and stable operation under such configurations?
     3.     Are there specific BIOS settings or configurations that need to be adjusted to achieve this?

Are there specific models of motherboard that are more flexible in this regard? The motherboards of particular interest for this inquiry include:

     ??ASRock X670E Steel Legend
     ??ASRock B650E Steel Legend
     ??ASRock B650 Pro RS

The goal is to understand the feasibility and potential performance benefits of such configurations for machine learning tasks.

Any insights or experiences from the community or ASRock support team would be greatly appreciated.

Thank you! 

Author	Message Topic Search Topic Options Post Reply Create New Topic Printable Version Translate Topic
AsRockML Members Profile Send Private Message Find Members Posts Add to Buddy List Newbie Joined: 07 Aug 2024 Status: Offline Points: 20	Post Options Post Reply Quote AsRockML Report Post Thanks(0) Quote Reply Topic: High VRAM Allocation on Ryzen APUs for Machine Lea Posted: 07 Aug 2024 at 11:26am
	Hello ASRock Community, I?�m currently exploring the potential of using Ryzen APUs (eg from the 5000 to 8000 series) for machine learning applications. Specifically, I am interested in configuring the VRAM allocation settings in the BIOS to support more than 16GB of VRAM. This capability would be beneficial for loading large models and datasets. I have seen various discussions about increasing VRAM allocation using the ?�UMA Frame Buffer Size??setting in the BIOS. However, detailed user experiences about achieving allocations higher than 16GB are sparse. My questions are: 1. Are there any documented cases where users have successfully set the VRAM allocation above 16GB on Ryzen APUs? Eg. 64GB. 2. Has this led to successful system boot and stable operation under such configurations? 3. Are there specific BIOS settings or configurations that need to be adjusted to achieve this? Are there specific models of motherboard that are more flexible in this regard? The motherboards of particular interest for this inquiry include: ??ASRock X670E Steel Legend ??ASRock B650E Steel Legend ??ASRock B650 Pro RS The goal is to understand the feasibility and potential performance benefits of such configurations for machine learning tasks. Any insights or experiences from the community or ASRock support team would be greatly appreciated. Thank you!