Gaudi 2 vs RTX 5070

The RTX 5070 lists FP16 dense performance at 61.7 TFLOPS and FP32 performance at 30.9 TFLOPS. The FP16 dense figure therefore exceeds the FP32 figure by a factor of two on the RTX 5070. The Gaudi 2 does not publish FP16 dense or FP16 with sparsity figures so direct ratio comparison remains unavailable. Memory bandwidth of 2450 GB/s on the Gaudi 2 exceeds the 672 GB/s figure on the RTX 5070 by a ratio of 3.65 to 1 and this difference permits larger batch sizes during model execution. The 600W TDP on the Gaudi 2 exceeds the 250W TDP on the RTX 5070 by a ratio of 2.4 to 1 and this difference affects sustained operation in power constrained environments.

The Gaudi 2 suits workloads that require 96 GB HBM2e memory capacity for large model residency. Its 2450 GB/s bandwidth supports batch sizes that exceed those feasible on devices limited to 672 GB/s bandwidth. The OAM form factor and RoCE Ethernet interconnect further align with scale out server deployments.

The RTX 5070 suits workloads that require published FP16 dense performance of 61.7 TFLOPS within a 250W TDP envelope. Its PCIe form factor and PCIe 5.0 interconnect align with standard workstation or single node installations. The device also supplies FP8 dense performance of 123.5 TFLOPS for precision reduced inference paths.