When every operation is cryptographically provable
The convergence of confidential compute, MPC, and AI agents in trading infrastructure: AWS Nitro vs SGX vs SEV-SNP tradeoffs, attestation as proof of strategy, ZeroCopy Sovereign Consciousness architecture, and the manifesto.
The firms that will own institutional crypto trading in the next decade are not the ones with the best signals. They are the ones whose infrastructure makes "trust us, it is secure" unnecessary - replacing it with cryptographic proof. This series documents why that shift is happening and how to build for it.
AWS Nitro Enclaves, Intel SGX, and AMD SEV-SNP compared for trading infrastructure: attestation mechanics, key isolation properties, and benchmark latency numbers from production builds.
How TEE-based confidential compute lets trading firms prove their strategy is running as described to investors and auditors without revealing the strategy itself.
AI agents in trading do synthesis and memo drafting, not signal generation. How Letta-based persistent-memory agents fit into a human-gated BDI execution pipeline.
On-premise GPU beats cloud cost beyond ~8 hours/day utilization, and the latency case tips even earlier. Break-even math for LightGBM inference and training loops at trading scale.
Bybit, FTX, Mt. Gox: fast infrastructure, none of it verifiable. TEEs, MPC, and AI agents are converging to fix that.
What production-grade infrastructure for autonomous agents that move money actually requires: human-oversight controls, attestation, deterministic safety nets, and the Article 14 deadline.