RTX 4090 vs T4

The RTX 4090 delivers 165.2 TFLOPS FP16 dense performance while the T4 delivers 65 TFLOPS FP16 dense performance. This ratio indicates the RTX 4090 can process FP16 dense operations at 2.54 times the rate of the T4. FP32 throughput follows a larger gap with the RTX 4090 at 82.6 TFLOPS versus the T4 at 8.1 TFLOPS. Memory bandwidth at 1008 GB/s on the RTX 4090 versus 320 GB/s on the T4 allows larger batch sizes during training and inference before memory limits are reached. The RTX 4090 also lists FP16 with sparsity at 330.4 TFLOPS against the T4 dense FP16 figure of 65 TFLOPS. Higher bandwidth and compute numbers on the RTX 4090 support faster iteration on large models while the T4 remains limited by its lower 320 GB/s bandwidth and 65 TFLOPS FP16 dense rating.

The RTX 4090 suits scenarios that require 24 GB VRAM and 1008 GB/s bandwidth together with 165.2 TFLOPS FP16 dense performance. Workloads that benefit from these numbers include large model training and high resolution image generation where the 82.6 TFLOPS FP32 rating accelerates computation. The 450 W TDP is acceptable when power delivery and cooling infrastructure can support it.

The T4 fits deployments where 70 W TDP and PCIe 3.0 interconnect are priorities. Its 16 GB VRAM and 320 GB/s bandwidth suffice for lighter inference tasks that stay within those limits. The 65 TFLOPS FP16 dense rating and 130 TOPS INT8 dense rating support basic model serving without exceeding the lower power envelope.