Privacy doesn't have to come at the cost of performance. NVIDIA's latest B200 benchmarks show confidential AI inference retaining 96.1–98.2% of baseline throughput, with just 1.2–4.3% latency overhead. With TEE-backed execution, protecting sensitive data during computation is becoming increasingly practical. Private AI is moving closer to performance parity.
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