H200 vs L40S

Dense FP16 performance reaches 989 TFLOPS on the H200 against 362.05 TFLOPS on the L40S which translates to substantially higher throughput for matrix operations in training and inference pipelines. With sparsity the H200 delivers 1979 TFLOPS in FP16 while the L40S reaches 733 TFLOPS allowing consistent scaling advantages when sparsity is applied. Memory bandwidth of 4800 GB/s on the H200 compared to 864 GB/s on the L40S supports larger batch sizes during model execution without frequent data movement. FP32 figures show the L40S at 91.6 TFLOPS exceeding the H200 at 67 TFLOPS which favors the L40S in workloads dominated by single precision arithmetic. TDP values of 700W for the H200 and 350W for the L40S further differentiate power efficiency across dense and sparse tensor operations.

The H200 suits scenarios that require 141 GB HBM3e memory and 4800 GB/s bandwidth for handling extensive datasets in parallel processing. Its dense FP16 rating of 989 TFLOPS and support for NVLink interconnect make it preferable when scaling across multiple units for memory intensive operations exceeds the 48 GB limit of alternatives.

The L40S fits deployments where 350W TDP and PCIe form factor align with existing power and slot constraints. Its FP32 performance at 91.6 TFLOPS provides an edge for computations that rely on single precision while maintaining 733 TFLOPS dense FP8 capability within lower overall system demands.