The AMD MI300X is designed to handle large-scale AI workloads, including training and inference for large language models (LLMs). Its specifications suggest it is well-suited for running models with hundreds of billions of parameters, similar to or exceeding the capabilities of NVIDIA's H100 GPUs. Here's why:

The MI300X boasts 192 GB of HBM3 memory, which is more than double the memory capacity of NVIDIA's H100 (80 GB). This massive memory capacity allows the MI300X to handle larger models or datasets without requiring as much model partitioning across multiple GPUs.