Gaudi 2 vs RTX 5080

The RTX 5080 lists an FP16 dense figure of 112.6 TFLOPS that is exactly double its FP32 figure of 56.3 TFLOPS. This ratio indicates that workloads able to use FP16 dense operations can complete in half the time of equivalent FP32 operations on the same device. The Gaudi 2 provides no published FP16 dense or FP16 with sparsity numbers so direct ratio comparisons remain unavailable. Memory bandwidth of 2450 GB/s on the Gaudi 2 exceeds the 960 GB/s of the RTX 5080 by a factor of 2.55 and therefore supports larger batch sizes before memory capacity or transfer limits are reached. The 600W TDP of the Gaudi 2 exceeds the 360W TDP of the RTX 5080 by a factor of 1.67 and therefore requires correspondingly larger power delivery and cooling infrastructure.

The Gaudi 2 becomes the better choice for workloads that require the full 96 GB HBM2e capacity or the 2450 GB/s bandwidth to hold large models or datasets in a single device. Its OAM form factor and RoCE Ethernet interconnect further suit deployments that integrate with existing high speed Ethernet fabrics rather than PCIe only topologies.

The RTX 5080 becomes the better choice for workloads that can utilize its published FP16 dense figure of 112.6 TFLOPS or FP8 dense figure of 225.1 TFLOPS within a 360W power envelope. Its PCIe form factor and PCIe 5.0 interconnect also suit standard server slots without requiring OAM infrastructure.