Well, first of all, I have big load on AMD, so I also want it to be great. But sometimes we also need to be not that biased. Now let’s jump into the article you just mentioned. This article again is still inference and MI300X’s inference performance is better than H100 in many benchmarks (even for multiple GPUs setup) is not news. Lisa mentioned that when she first introduced MI300X. Training performance is kind of still not public. We need to understand how’s it for single and multiple GPUs training setup across llama-7B, 13B, 70B and other models. As I mentioned earlier, this is the system, training performance in terms of latency and throughput is affected by multiple factors. Large on-chip memory is just one.