Enclave: Sovereign AI That Never Leaves

Enclave is a sovereign, on-premise multi-agent AI compliance system that runs entirely inside a single AMD Instinct MI300X node, no data ever crosses a network boundary. Banks doing loan underwriting, hospitals processing patient intake, and government agencies reviewing filings need agentic AI, but sending sensitive data to OpenAI or Anthropic's cloud APIs is often a compliance violation before the first token is generated. GDPR, HIPAA, and sovereign-AI mandates require data to stay in a controlled environment. Enclave solves this with a 4-agent pipeline; Orchestrator, Researcher, Analyst, and Auditor, coordinated entirely on one GPU. This is only possible because of the MI300X's large HBM capacity: fitting multi-agent context and shared KV-cache on a single card is the difference between staying fully on-prem versus needing multiple networked GPUs, which breaks the zero-egress guarantee regulators require. We validated this on real AMD Developer Cloud hardware (ROCm 7.2, vLLM 0.16): a full compliance review pipeline ran at 32.8 tok/s with a 14.35 GiB model footprint, and a concurrent 4-agent batched execution proved 1.9x throughput versus isolated cold calls, genuine evidence of single-node concurrent execution, not just an architectural claim. Our auto-tuner enforces the single-node constraint as a hard rule: any configuration requiring a second GPU is automatically rejected, regardless of raw speed, because a network hop between GPUs is a compliance boundary crossed. Enclave turns AMD's memory advantage into a literal compliance advantage, proving that regulated industries no longer have to choose between agentic AI productivity and data sovereignty.