RTX 3090 Ti vs Tesla T4

The RTX 3090 Ti variant sustains 35.6 TFLOPS dense FP16 that equals its 35.6 TFLOPS dense FP32 rating while the T4 variant sustains 8.1 TFLOPS dense FP16 that equals its 8.1 TFLOPS dense FP32 rating. This parity means both GPUs process FP16 workloads at the same throughput as FP32 workloads without any sparsity benefit. Memory bandwidth of 936 GB per second on the RTX 3090 Ti family supports larger batch sizes than the 320 GB per second bandwidth on the T4 family during training or inference. The 24 GB capacity on the RTX 3090 Ti variant further accommodates bigger models than the 16 GB capacity on the T4 variant. Power draw remains fixed at 350 W TDP for the RTX 3090 Ti family and 70 W TDP for the T4 family across all workloads.

The RTX 3090 Ti variant suits LLM training tasks that require 24 GB memory capacity and 936 GB per second bandwidth to handle large batch sizes. Its 35.6 TFLOPS dense FP16 rating accelerates dense matrix operations compared with the lower rating on the alternative. NVLink interconnect availability provides an additional path for multi GPU scaling in scientific computing workloads.

The T4 variant suits inference workloads that operate within 16 GB memory capacity and prioritize 70 W TDP to reduce overall system power. Its 8.1 TFLOPS dense FP16 rating combined with 130 TOPS INT8 throughput handles lighter inference loads efficiently. PCIe only deployment fits environments that do not require interconnect features.