DriveNets and Bentaus announced a deployment on November 12 that combines AMD Instinct MI325X GPUs, DriveNets Ethernet fabric and Bentaus's Ziani power management software. DriveNets reported that Bentaus retained 97% of token throughput while using 30% less GPU power in its cluster test. The accompanying case study attributes that result to compute power management on the deployed cluster. Deployment announcement · DriveNets case study

The release also describes the result in terms of energy per token. GPU power, energy per token and facility demand each need their own measurement boundary. The case study gives operators a reason to test a similar configuration, with the deployment's figures treated as vendor-reported results for that cluster.

Measure from the GPU to the service entrance

Start by documenting what each meter covers. Use GPU telemetry to confirm that the cap took effect. Read rack or IT distribution meters to see how server and network demand changed.…