B300 vs RTX 3060

The FP32 performance ratio shows the B300 at 75 TFLOPS delivering roughly six times the throughput of the RTX 3060 at 12.7 TFLOPS for general compute tasks. Memory bandwidth of 8000 GB per s on the B300 versus 360 GB per s on the RTX 3060 allows the B300 to sustain larger batch sizes during operations that move substantial data volumes. FP16 dense performance on the B300 reaches 2250 TFLOPS which supports accelerated training and inference steps compared to the RTX 3060 where FP16 figures remain unpublished by the vendor. FP16 with sparsity on the B300 reaches 4500 TFLOPS and FP8 dense reaches 4500 TFLOPS further widening the gap for precision specific workloads. Power draw of 1400W on the B300 versus 170W on the RTX 3060 indicates different infrastructure requirements for sustained operation.

The B300 suits scenarios that require 262 to 288 GB HBM3e VRAM and 8000 GB per s bandwidth such as large scale model training or inference that exceed the 8 to 12 GB capacity of the RTX 3060. Its FP16 dense rating of 2250 TFLOPS and FP32 rating of 75 TFLOPS enable handling of workloads where the RTX 3060 FP32 rating of 12.7 TFLOPS proves insufficient.

The RTX 3060 fits environments constrained by 170W TDP and PCIe form factor where the 1400W TDP and SXM6 form factor of the B300 exceed available power or slot resources. Its 12.7 TFLOPS FP32 rating supports lighter compute tasks that do not demand the 75 TFLOPS FP32 or 2250 TFLOPS FP16 dense ratings of the B300.