Gaudi 2 vs RTX 4080

The RTX 4080 delivers 97.5 TFLOPS in dense FP16 and 48.7 TFLOPS in FP32, producing a two times increase when moving from FP32 to dense FP16 arithmetic. The Gaudi 2 publishes no tensor performance figures, so direct arithmetic comparisons remain unavailable. Memory bandwidth of 2450 GB/s on the Gaudi 2 versus 717 GB/s on the RTX 4080 permits substantially larger batch sizes before data movement becomes the limiter. When sparsity is available the RTX 4080 reaches 195 TFLOPS in FP16 with sparsity, 389.8 TFLOPS in FP8 with sparsity, and 779.8 TOPS in INT8 with sparsity, figures that remain inaccessible on the Gaudi 2 because no corresponding values appear in its specifications.

The Gaudi 2 suits workloads that need 96 GB of memory to hold models that exceed the 16 GB limit of the RTX 4080. Its 2450 GB/s bandwidth and RoCE Ethernet interconnect further support distributed training runs where PCIe only connectivity would constrain scaling.

The RTX 4080 suits environments that require a 320 W TDP and a standard PCIe form factor for easy integration into existing consumer or workstation systems. Its published dense FP16 figure of 97.5 TFLOPS and corresponding sparse values supply concrete arithmetic data points absent from the Gaudi 2 specifications.