A30 vs Quadro P6000

The A30 supplies dense FP16 performance of 165 TFLOPS in contrast to the absence of published FP16 figures for the Quadro P6000. This delta allows the A30 to handle training and inference workloads that rely on reduced precision tensor operations at a level unavailable on the older card. The A30 also lists dense INT8 at 330 TOPS and FP32 at 10.3 TFLOPS. Memory bandwidth of 933 GB/s on the A30 exceeds the 432 GB/s of the Quadro P6000 by a factor of roughly 2.16 which permits larger batch sizes during memory intensive operations. The Quadro P6000 maintains an FP32 advantage of 12.6 TFLOPS over the A30 figure of 10.3 TFLOPS yet its higher TDP of 250W compared to 165W limits efficiency in sustained runs.

The A30 suits workloads that require dense FP16 at 165 TFLOPS or dense INT8 at 330 TOPS along with 933 GB/s memory bandwidth. Its 165W TDP and NVLink support further favor deployment in power constrained or multi GPU setups that benefit from PCIe 4.0 connectivity.

The Quadro P6000 fits scenarios that depend on its published FP32 performance of 12.6 TFLOPS and compatibility with legacy Pascal era software stacks. Its 24 GB GDDR5X memory remains adequate for applications that do not demand the higher bandwidth of 933 GB/s found on newer cards.