The MI200 series accelerators are the industry-first multi-chip GPU for excellent throughput and efficiency. Supercomputer Frontier chose the MI250. All AI Workloads. The MI200 accelerator is optimized for BF16, INT4, INT8, FP16, FP32, and FP32 Matrix to meet all your AI system requirements. High-performance.
Thanks for your quick response to my question. I agree with you about the excellent performance provided by the MI200 series accelerators in AI and compute-intensive applications, but real applications are complicated and usually consist of other kernels besides the BLAS kernels. Accordingly, since the MI250X GPU contains multiple chips, is it available to use these chips to complete a complicated workload by allocating different kernels to these chips for a closer interaction between kernels?