B300 vs RTX 2080

The B300 delivers 2250 TFLOPS in dense FP16 compared to 40.3 TFLOPS in dense FP16 on the RTX 2080 which means the B300 supports substantially larger model training and inference operations at equivalent precision levels. The B300 also provides 75 TFLOPS in FP32 while the RTX 2080 provides 10 TFLOPS in FP32 indicating greater capacity for general purpose computations on the B300. Memory bandwidth of 8000 GB/s on the B300 versus 448 GB/s on the RTX 2080 allows the B300 to sustain larger batch sizes during processing without data transfer bottlenecks. When comparing like figures the B300 reaches 4500 TFLOPS in FP16 with sparsity against the RTX 2080 dense FP16 figure of 40.3 TFLOPS and the B300 reaches 375 TOPS in INT8 with sparsity against the RTX 2080 dense INT8 figure of 161.1 TOPS.

The B300 suits scenarios that require 2250 TFLOPS dense FP16 performance and 8000 GB/s memory bandwidth for large scale model operations. Its 1400W TDP and SXM6 form factor with PCIe 6.0 interconnect support sustained high throughput workloads where the 262 to 288 GB HBM3e VRAM capacity enables handling of extensive datasets.

The RTX 2080 suits scenarios that require only 10 TFLOPS FP32 performance and 215W TDP operation for basic computational needs. Its 8 to 11 GB GDDR6 VRAM and PCIe form factor with PCIe 3.0 interconnect fit environments where power constraints limit hardware to lower consumption levels.