A40 vs Quadro RTX 5000

Dense FP16 performance of 149.7 TFLOPS on the A40 exceeds the 89.2 TFLOPS dense FP16 figure on the Quadro RTX 5000 by a ratio of 1.68 to 1. This ratio translates into faster matrix operations during training and inference workloads that rely on dense FP16 arithmetic. The A40 also supplies 37.4 TFLOPS dense FP32 against 11.2 TFLOPS dense FP32 on the Quadro RTX 5000 for a ratio of 3.34 to 1. Memory bandwidth of 696 GB/s versus 448 GB/s permits larger batch sizes on the A40 before memory capacity or transfer limits are reached. INT8 dense throughput of 299.3 TOPS on the A40 further widens the advantage over the 178.4 TOPS dense INT8 rating of the Quadro RTX 5000.

The A40 becomes the preferred choice for workloads that require 48 GB of VRAM together with 149.7 TFLOPS dense FP16 performance. Its 696 GB/s memory bandwidth supports larger batch sizes than the 448 GB/s available on the Quadro RTX 5000. The 300 W TDP remains acceptable when the additional 37.4 TFLOPS dense FP32 throughput justifies the power draw.

The Quadro RTX 5000 fits tasks where 16 GB of VRAM suffices and 89.2 TFLOPS dense FP16 meets requirements. Its 230 W TDP reduces power consumption relative to the 300 W rating of the A40. The older Turing architecture still delivers 11.2 TFLOPS dense FP32 for lighter inference or fine tuning jobs.