A hyperscaler just published the number that decides whether a gigawatt cluster is worth what it cost. It is not the GPU count.
- Meta converted a data center that had served web traffic two years ago into training infrastructure, and the first completed phase ran above 85 percent goodput on pre-training and above 90 percent on reinforcement learning.
- A two rack pair draws about 120 kilowatts and forms one 72 GPU NVLink domain, so a single degraded host or switch can stall an entire job.
- Getting from about 47,000 to more than 54,000 GPU hours between interruptions took memory scrubbing, tighter HBM firmware, a better LPDDR error correction algorithm and predictive retirement of devices before a job found them.
- The stated target is two interruptions per 8,000 GPUs per day, and the next platform draws more again with Vera Rubin above 170 kilowatts per rack.
- Almost none of that appears on a quote, which is the part most infrastructure plans still miss.
Read the full analysis at Why 85 percent goodput is the number that decides a gigawatt cluster.
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