B300 vs Quadro P4000

The FP16 dense rating of 2250 TFLOPS on the B300 versus the absence of any published FP16 figure on the Quadro P4000 indicates substantial differences in training throughput. FP32 performance shows 75 TFLOPS on the B300 against 5.3 TFLOPS on the Quadro P4000. Memory bandwidth of 8000 GB/s on the B300 supports larger batch sizes during inference compared to 243 GB/s on the Quadro P4000. FP16 with sparsity reaches 4500 TFLOPS on the B300 while the Quadro P4000 provides no published equivalent. These deltas translate to higher capacity for dense FP16 workloads on the B300 and limited scaling on the Quadro P4000 due to its 8 GB VRAM constraint.

The B300 suits LLM training scenarios that require 262 GB VRAM and 2250 TFLOPS FP16 dense performance. Workloads involving FP8 dense at 4500 TFLOPS or FP4 dense at 13500 TFLOPS benefit from the B300 interconnect options including NVLink. High bandwidth of 8000 GB/s enables efficient handling of large models where the Quadro P4000 cannot scale.

The Quadro P4000 fits basic scientific computing tasks that operate within 8 GB VRAM and 5.3 TFLOPS FP32 limits. Its 105W TDP supports deployment in power constrained environments where the 1400W requirement of the B300 exceeds available infrastructure. Legacy PCIe 3.0 systems remain compatible with the Quadro P4000 form factor.