AMD's Variable Graphics Memory (VGM) technology enables dynamic allocation of system RAM as dedicated VRAM, enhancing performance for AI applications. This feature is particularly beneficial for running large language models (LLMs) locally on consumer-grade hardware. For instance, the SD 3 Medium model requires 18GB of VRAM in FP16, while the FLUX.Schnell model can demand up to 32GB in partial offload mode.
AMD's VGM supports various quantization methods, including Q4 K M, to reduce memory usage without significant accuracy loss. The Ryzen AI Max+ 395 processor, with 128GB of VGM, can handle models with up to 128 billion parameters, offering full offload support and efficient AI model deployment on Windows systems.
