Quadro RTX 8000 vs RTX 6000 Ada

Dense FP16 performance on the RTX 6000 Ada measures 364 TFLOPS which exceeds the 130.5 TFLOPS dense FP16 rating of the Quadro RTX 8000 by a factor derived from those exact values. This difference means training workloads that rely on dense FP16 operations complete faster on the RTX 6000 Ada while inference tasks benefit similarly from the higher throughput. FP32 dense performance follows the same pattern with 91.1 TFLOPS versus 16.3 TFLOPS. Memory bandwidth of 960 GB/s on the RTX 6000 Ada versus 672 GB/s on the Quadro RTX 8000 allows larger batch sizes during both training and inference because data movement occurs more rapidly. Sparse figures remain unavailable for the Quadro RTX 8000 so comparisons stay limited to dense values only.

The Quadro RTX 8000 suits environments where NVLink interconnect is required for multi GPU scaling because the RTX 6000 Ada provides only PCIe 4.0. Its lower TDP of 260W compared to 300W also favors installations with strict power limits. Applications that do not demand the higher 364 TFLOPS dense FP16 of the newer card can operate adequately on the 130.5 TFLOPS dense FP16 of the Quadro RTX 8000.

The RTX 6000 Ada excels in scenarios that utilize its 960 GB/s memory bandwidth and 91.1 TFLOPS FP32 performance for accelerated data processing. Workloads needing dense FP16 at 364 TFLOPS complete more operations per second than the 130.5 TFLOPS available on the Quadro RTX 8000. Newer PCIe 4.0 support further improves compatibility with current server platforms.