GTX 1080 vs T4

The T4 provides 65 TFLOPS dense FP16 against its 8.1 TFLOPS FP32 while the GTX 1080 supplies only 8.9 TFLOPS FP32 with no FP16 figure published. This delta allows the T4 to accelerate inference workloads that utilize dense FP16 operations far beyond FP32 limits on the GTX 1080. Both GPUs share identical 320 GB/s memory bandwidth so batch size constraints remain comparable when memory capacity permits. The T4 also lists 130 TOPS dense INT8 which supports quantized inference paths unavailable on the GTX 1080. Power draw differs sharply with the T4 at 70W TDP versus 180W TDP on the GTX 1080 which affects sustained deployment density.

The GTX 1080 suits workloads that rely solely on its 8.9 TFLOPS FP32 and do not require tensor operations. Its 180W TDP remains acceptable in single card desktop configurations where the 8 GB GDDR5X memory suffices for the task. The card fits older systems already equipped with PCIe 3.0 slots that do not prioritize power efficiency.

The T4 fits inference tasks that exploit its 65 TFLOPS dense FP16 and 130 TOPS dense INT8 with only 70W TDP. Its 16 GB GDDR6 memory supports larger batches than the 8 GB on the GTX 1080 at the same 320 GB/s bandwidth. The card suits environments that demand lower power draw and Turing tensor capabilities.