P100 vs RTX 2000 Ada

The P100 delivers 18.7 TFLOPS dense FP16 which doubles its 9.3 TFLOPS FP32 figure while the RTX 2000 Ada provides 12 TFLOPS FP32 without a published dense FP16 value. This dense FP16 advantage on the P100 supports training workloads that rely on higher throughput at reduced precision compared to FP32 alone. The RTX 2000 Ada lists FP8 with sparsity at 191.9 TFLOPS which cannot be compared directly to any dense figure from the P100. Memory bandwidth at 732 GB/s on the P100 exceeds 224 GB/s on the RTX 2000 Ada and permits larger batch sizes in memory bound operations. TDP of 250W on the P100 versus 70W on the RTX 2000 Ada affects sustained performance in power limited environments. Dense FP32 comparison shows the RTX 2000 Ada at 12 TFLOPS ahead of the P100 at 9.3 TFLOPS.

The P100 suits scientific computing tasks that require 732 GB/s bandwidth and NVLink interconnect for multi GPU scaling. Its 18.7 TFLOPS dense FP16 supports training scenarios where Pascal architecture and HBM2 memory maintain data throughput at 250W TDP.

The RTX 2000 Ada fits inference workloads that utilize 191.9 TFLOPS FP8 with sparsity and 12 TFLOPS FP32 at 70W TDP. Its PCIe 4.0 interconnect and GDDR6 memory align with single GPU deployments that prioritize lower power over high bandwidth.