Feb 11, 2026
GPU Determinism: What Is Guaranteed, What Is Not, and What to Control
A practical guide to GPU nondeterminism for regulated deployments: where variance comes from, what controls work, and how to document deterministic scope honestly.
Deterministic AI Infrastructure for Regulated Systems
MLNavigator builds compliance-first AI runtime technology
designed for auditable, offline, and high-assurance environments.
- ACCEL-KS Proof of Concept Grant
- NSF I-Corps
- 50+ Operator Interviews
The Problem with Today’s AI Systems
- Non-deterministic execution makes audit evidence unreliable
- No verifiable execution trail linking outputs to inputs and configuration
- Cloud-dependent runtimes are incompatible with air-gapped and classified environments
Core Technology: adapterOS
Deterministic Execution
Policy-scoped controls over quantization, stop conditions, and kernel selection produce repeatable inference runs.
Cryptographic Receipts
Hash-chained execution receipts link inputs, configuration, and outputs into audit-ready evidence.
Offline Deployment
Runs without outbound network calls, license servers, or telemetry. Designed for air-gapped and classified networks.
Designed for Regulated Environments
Aerospace & Defense
ITAR, CMMC, and air-gapped deployment requirements
Critical Infrastructure
Offline operation in energy, transport, and utility systems
Regulated Finance
Audit trails and model governance for compliance teams
Government & Public Sector
Sovereign data, classified networks, and FedRAMP-aligned controls
Latest Research & Engineering Notes
View all →Feb 11, 2026
MLNavigator and adapterOS
Company and product overview: market need, product scope, validation status, and business model.
Feb 11, 2026
Verification Scope
What adapterOS verification covers, what it does not cover, and where human oversight applies.
Editor’s Picks
Jan 15, 2026
Execution Receipts and the Problem of Citable AI
AI citations are failing because they lack verifiable provenance. Execution receipts offer a path toward AI outputs that can be meaningfully cited.
Jan 29, 2026
Threat Model: Offline-by-Default
What changes when you remove the network. Risks eliminated and risks amplified by offline-first architecture.
Feb 11, 2026
GPU Determinism: What Is Guaranteed, What Is Not, and What to Control
A practical guide to GPU nondeterminism for regulated deployments: where variance comes from, what controls work, and how to document deterministic scope honestly.