A30 vs Quadro P4000

The A30 delivers 165 TFLOPS dense FP16 performance and 10.3 TFLOPS FP32 performance. The Quadro P4000 lists no dense FP16 figure and supplies 5.3 TFLOPS FP32 performance. The ratio of dense FP16 to FP32 on the A30 equals sixteen times. Memory bandwidth of 933 GB/s on the A30 versus 243 GB/s on the Quadro P4000 permits substantially larger batch sizes during both training and inference steps. The A30 also lists 330 TOPS dense INT8 performance while the Quadro P4000 lists no INT8 figure. These numerical gaps translate into higher throughput for tensor operations on the A30 when sparsity modes remain unused.

The A30 suits workloads that require 24 GB memory capacity together with 933 GB/s bandwidth. Scientific computing tasks benefit from the 10.3 TFLOPS FP32 rating and NVLink interconnect. Fine tuning operations gain from the 165 TFLOPS dense FP16 rating when batch sizes exceed the 8 GB limit of the alternative GPU.

The Quadro P4000 suits basic rendering or light compute tasks that fit within 8 GB memory. Its 105W TDP rating supports deployment in power constrained servers. FP32 workloads at 5.3 TFLOPS remain viable when dense FP16 acceleration is unnecessary.