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.









