B300 vs MI300X

FP16 dense performance of 2250 TFLOPS on the B300 exceeds the 1307.4 TFLOPS FP16 dense rating of the MI300X by a ratio of 1.72 to 1. This difference supports larger model training steps per unit time when operating in dense FP16 mode. FP16 with sparsity on the B300 reaches 4500 TFLOPS against 2614.9 TFLOPS FP16 with sparsity on the MI300X. Memory bandwidth of 8000 GB/s on the B300 versus 5300 GB/s on the MI300X permits larger batch sizes during inference without swapping to host memory. FP32 performance measures 75 TFLOPS on the B300 compared to 163.4 TFLOPS on the MI300X. The higher FP32 figure on the MI300X favors workloads that remain in single precision throughout execution.

The B300 suits LLM training runs that require 262-288 GB HBM3e VRAM to hold extended context lengths. Its 2250 TFLOPS FP16 dense rating accelerates matrix operations in dense mode for models that exceed 192 GB capacity limits. NVLink interconnect further enables multi GPU scaling in dense FP16 configurations.

The MI300X fits scientific computing tasks that rely on 163.4 TFLOPS FP32 performance. Its 750W TDP allows denser rack packing when power budgets constrain total system draw below 1400W per accelerator. Infinity Fabric supports scale out in FP32 heavy simulation codes.