P100 vs RTX 4000 Ada

The RTX 4000 Ada delivers 26.7 TFLOPS FP32 performance compared with 9.3 TFLOPS FP32 performance on the P100 which indicates greater throughput for single precision workloads on the newer card. The P100 provides 18.7 TFLOPS FP16 dense performance which supports half precision operations at roughly twice its FP32 rate while the RTX 4000 Ada lists no FP16 figure. Memory bandwidth of 732 GB/s on the P100 exceeds the 360 GB/s on the RTX 4000 Ada and this difference can influence achievable batch sizes in memory bound kernels despite the RTX 4000 Ada holding 20 GB versus 16 GB on the P100. The 427.6 TFLOPS FP8 with sparsity figure on the RTX 4000 Ada applies only to sparse tensor operations and cannot be compared directly with any dense figure from the P100.

The P100 suits workloads that require 732 GB/s memory bandwidth and NVLink interconnect for multi GPU scaling. Its 18.7 TFLOPS FP16 dense performance and 9.3 TFLOPS FP32 performance remain relevant when applications fit within 16 GB HBM2 capacity and tolerate 250W TDP. Scientific computing codes that benefit from high bandwidth HBM2 memory select the P100 over alternatives with lower bandwidth.

The RTX 4000 Ada suits workloads that require 26.7 TFLOPS FP32 performance and 130W TDP within a 20 GB GDDR6 frame. Its 427.6 TFLOPS FP8 with sparsity performance enables sparse tensor acceleration unavailable on the P100. PCIe 4.0 interconnect and lower power draw favor the RTX 4000 Ada in dense single precision inference or fine tuning tasks that fit the newer architecture.