B300 vs RTX 4080

The FP16 dense figure of 2250 TFLOPS on the B300 exceeds the 97.5 TFLOPS dense FP16 on the RTX 4080 by a factor derived directly from those values. This delta indicates the B300 can process larger batches during training or inference steps that rely on dense FP16 operations. The B300 also lists 75 TFLOPS FP32 while the RTX 4080 lists 48.7 TFLOPS FP32. Memory bandwidth of 8000 GB/s on the B300 versus 717 GB/s on the RTX 4080 allows the B300 to sustain higher throughput when moving data for sparse FP16 workloads rated at 4500 TFLOPS on the B300 and 195 TFLOPS on the RTX 4080. The TDP of 1400W for the B300 compared with 320W for the RTX 4080 further shapes deployment choices around power delivery infrastructure.

The B300 suits scenarios that demand the 262 to 288 GB VRAM capacity and 8000 GB/s bandwidth for models exceeding the 16 GB limit of the RTX 4080. Workloads using dense FP8 at 4500 TFLOPS or sparse FP4 at 18000 TFLOPS benefit from the B300 specifications in multi node NVLink configurations.

The RTX 4080 fits environments constrained by the 320W TDP and PCIe form factor where the 16 GB GDDR6X memory suffices for smaller inference tasks. Its 97.5 TFLOPS dense FP16 rating supports consumer scale applications without the infrastructure required for the 1400W B300.