AI performance comes down to three dimensions:

Accuracy: How well the model reasons and produces outputs

Throughput: How many tokens per second a datacenter can generate

Interactivity: How responsive the model feels to a user, dominated by latency

Deployments must balance all three: High accuracy is wasted if responses are slow, and raw throughput means little if each user’s experience is laggy. Practical systems therefore optimize accuracy, throughput, and interactivity together.