Gaudi 2 vs RTX 3090

Memory bandwidth of 2450 GB/s on the Gaudi 2 exceeds the 936 GB/s figure on the RTX 3090 by a factor of 2.6. This difference supports larger batch sizes during training or inference workloads that move substantial data volumes. The RTX 3090 lists FP16 performance at 71 TFLOPS dense and 142 TFLOPS with sparsity along with FP32 at 35.6 TFLOPS. The Gaudi 2 supplies no corresponding tensor figures so direct arithmetic ratios remain unavailable. Higher TDP of 600W on the Gaudi 2 compared with 350W on the RTX 3090 indicates greater power delivery requirements that accompany the increased memory subsystem.

The Gaudi 2 suits workloads that require 96 GB VRAM capacity and 2450 GB/s bandwidth. Large model training or fine tuning sessions benefit from four times the memory of the RTX 3090. OAM form factor and RoCE Ethernet interconnect further align with clustered deployments that exceed single node limits of the RTX 3090.

The RTX 3090 fits scenarios that need published FP16 dense performance of 71 TFLOPS or FP32 performance of 35.6 TFLOPS. PCIe form factor and NVLink interconnect match consumer or workstation installations where 350W TDP remains acceptable. INT8 dense throughput of 284 TOPS also supports inference tasks that rely on these exact metrics.