Quadro RTX 4000 vs RTX 4090

The FP16 dense figure of 165.2 TFLOPS on the RTX 4090 exceeds the 57 TFLOPS dense FP16 on the Quadro RTX 4000 by a factor of 2.9. This ratio indicates the RTX 4090 can process larger matrix operations in training and inference when both GPUs run dense FP16 workloads. FP32 performance shows an 11.6 times advantage for the RTX 4090 at 82.6 TFLOPS over 7.1 TFLOPS. Memory bandwidth of 1008 GB/s versus 416 GB/s allows the RTX 4090 to sustain larger batch sizes during data movement. The RTX 4090 also lists FP16 with sparsity at 330.4 TFLOPS while the Quadro RTX 4000 publishes no sparsity figure. TDP of 450W compared with 125W reflects higher power draw for the higher throughput figures.

The Quadro RTX 4000 suits environments where power limits constrain deployment to 125W TDP. Its 8 GB VRAM and 416 GB/s bandwidth fit inference tasks that require modest memory footprints. PCIe 3.0 interconnect matches systems without PCIe 4.0 support. Users select this GPU when workloads stay within 57 TFLOPS dense FP16 and 7.1 TFLOPS FP32.

The RTX 4090 fits workloads that scale with 24 GB VRAM and 1008 GB/s bandwidth. Its 165.2 TFLOPS dense FP16 and 82.6 TFLOPS FP32 support larger models and higher throughput. PCIe 4.0 interconnect benefits systems that utilize the full bandwidth. Selection occurs when dense FP16 or FP32 requirements exceed the 57 TFLOPS and 7.1 TFLOPS limits of the Quadro RTX 4000.