MassedCompute defines 4 AI metrics

- MassedCompute argued that raw GPU counts are misleading for AI systems and proposed four operational metrics that actually matter for cluster performance. - The four metrics are tokens per second, time to first token, job completion time, and cost per useful output—each tied to user-facing service quality. - The framing shifts evaluation from component vanity to end-to-end latency, throughput, and cost measures for product teams building AI features. (massedcompute.com)