P100 vs RTX 4070

The RTX 4070 delivers 58.3 TFLOPS dense FP16 compared with 18.7 TFLOPS dense FP16 on the P100. This ratio means the RTX 4070 completes dense FP16 operations more than three times faster for training loops or inference passes that rely on dense FP16. The P100 supplies 732 GB/s memory bandwidth against 504 GB/s on the RTX 4070 so the P100 sustains larger batch sizes when memory capacity and bandwidth limit throughput. FP32 performance follows the same pattern with 29.1 TFLOPS on the RTX 4070 versus 9.3 TFLOPS on the P100. The RTX 4070 also lists 116.6 TFLOPS FP16 with sparsity which remains unavailable on the P100 specification.

The P100 suits scientific computing workloads that require 16 GB HBM2 memory paired with 732 GB/s bandwidth. Its NVLink interconnect supports multi GPU scaling in environments where PCIe 3.0 bandwidth would constrain data movement. Older code bases already validated on Pascal architecture avoid migration costs when the 250 W TDP fits existing power budgets.

Its 200 W TDP reduces operating power relative to the 250 W TDP of the P100 while still providing higher dense FP16 throughput. PCIe 4.0 connectivity matches current server platforms without requiring legacy NVLink fabrics.