P100 vs Quadro P4000

The P100 delivers 18.7 TFLOPS dense FP16 and 9.3 TFLOPS dense FP32 while the Quadro P4000 publishes only 5.3 TFLOPS dense FP32. The dense FP16 figure on the P100 exceeds its own dense FP32 figure by a factor of two, which supports faster matrix operations during training phases that can utilize half precision. Memory bandwidth of 732 GB/s on the P100 versus 243 GB/s on the Quadro P4000 permits larger batch sizes before memory capacity or transfer limits are reached. The 16 GB HBM2 on the P100 versus 8 GB GDDR5 on the Quadro P4000 extends the feasible model size or dataset portion that fits in device memory during a single pass.

The P100 suits scientific computing tasks that require the 18.7 TFLOPS dense FP16 rating and 732 GB/s bandwidth to process large matrices. Its NVLink interconnect further benefits multi GPU scaling where the 16 GB HBM2 capacity accommodates bigger working sets than the 8 GB alternative.

The Quadro P4000 fits inference workloads that stay within the 5.3 TFLOPS dense FP32 limit and operate under the 105 W TDP ceiling. Its PCIe form factor and lower power draw allow denser packing in systems where the 8 GB GDDR5 memory suffices for smaller batches.