Quadro RTX 4000 vs RTX 6000 Ada

The FP16 dense figure of 57 TFLOPS on the Quadro RTX 4000 contrasts with the FP16 dense figure of 364 TFLOPS on the RTX 6000 Ada. This delta indicates that the RTX 6000 Ada can process substantially larger matrix operations in the same time for both training and inference when dense computation is required. Memory bandwidth of 416 GB/s on the Quadro RTX 4000 versus 960 GB/s on the RTX 6000 Ada directly limits sustainable batch sizes on the older card because data movement becomes the bottleneck sooner. FP32 performance of 7.1 TFLOPS on the Quadro RTX 4000 versus 91.1 TFLOPS on the RTX 6000 Ada shows similar scaling for single precision workloads. When sparsity is available the RTX 6000 Ada reaches FP16 with sparsity at 728 TFLOPS while the Quadro RTX 4000 provides no sparsity figure.

The Quadro RTX 4000 suits environments where TDP must remain at 125W and PCIe 3.0 interconnect is already deployed. Its 8 GB VRAM capacity fits smaller models that do not exceed that limit and its 7.1 TFLOPS FP32 rating meets modest compute needs without excess power draw.

The RTX 6000 Ada fits workloads that require 48 GB VRAM and 960 GB/s bandwidth to support larger batch sizes. Its 91.1 TFLOPS FP32 rating and 364 TFLOPS FP16 dense rating accelerate both training and inference when the higher 300W TDP is acceptable.