Hardware Confidentiality Enclaves in Healthcare & Clinical AI

Deploying sensitive patient LLM pipelines inside FIPS 140-3 validated silicon enclaves while complying with strict HIPAA guidelines.

System Architecture Overview

High-concurrency LLM inference for multi-step autonomous agents is fundamentally constrained by GPU Key-Value (KV) cache memory footprints. In long-horizon context windows (up to 128k tokens), memory capacity rather than raw compute throughput becomes the primary bottleneck.