A40 vs Quadro P6000

The A40 delivers 149.7 TFLOPS dense FP16 performance that exceeds its own 37.4 TFLOPS dense FP32 figure by a factor of four. This ratio allows training and inference workloads to run at higher throughput when models fit within the 48 GB capacity. Memory bandwidth of 696 GB/s on the A40 exceeds the 432 GB/s on the Quadro P6000 by 1.61 times and therefore supports larger batch sizes during dense FP16 operations. The Quadro P6000 lacks published dense FP16 numbers so direct tensor comparisons remain limited to the 37.4 TFLOPS versus 12.6 TFLOPS dense FP32 difference. The A40 also lists 299.3 TOPS dense INT8 that further widens the gap for quantized workloads.

The A40 suits LLM training and fine tuning jobs that require 48 GB VRAM together with 149.7 TFLOPS dense FP16. Its 696 GB/s bandwidth enables larger batch sizes than the 432 GB/s available on the older card.

The Quadro P6000 fits legacy scientific computing tasks that run adequately on 12.6 TFLOPS dense FP32 within a 250W power envelope. Existing PCIe 3.0 systems that cannot accommodate the 300W TDP of the A40 may continue to use the Quadro P6000 without hardware changes.