The author emphasizes that 16GB VRAM is a significant advantage as it surpasses most discrete GPUs. Even though these GPUs may have better computing power, they can run out of memory if an application requires 12 or more GB of VRAM. Despite the speed being an issue, it's considered better than running out of memory. The author also provides affiliate links to purchase the mentioned products on Amazon.
Key takeaways:
- The 4600G and 5600G are affordable options for GPUs, selling at $95 and $130 respectively, and can be turned into a 16GB VRAM GPU under Linux.
- These GPUs support AMD software stack: ROCm, and thus support Pytorch, Tensorflow, allowing you to run most of the AI applications.
- 16GB VRAM is a significant advantage as it surpasses most discrete GPUs. Even though these GPUs might have better computing power, they can run out of memory if an application requires 12 or more GB of VRAM.
- The author emphasizes the need for low-cost consumer hardware and smart-designed software to democratize AI.