Status: Draft Version: 1.0.0 Date: 2025-11-26

As artificial intelligence systems become integral to critical infrastructure, financial markets, and healthcare, the requirement for absolute transparency in computational execution has moved from a theoretical ideal to an operational necessity. While current auditing frameworks focus on model weights, training data, and high-level outputs, a significant visibility gap remains at the hardware execution layer.

GIATS-1.0 (GPU Instruction Accountability and Transparency Standard) addresses this gap by defining a unified specification for capturing, logging, and verifying every instruction executed by a Graphics Processing Unit (GPU).

By treating individual GPU instructions as the atomic unit of auditability, GIATS-1.0 enables organizations to achieve:

• Deterministic Reproducibility: Exact reconstruction of execution paths.
• Root-Cause Analysis: Granular attribution of anomalies to specific hardware states or instruction sequences.
• Supply Chain Integrity: Verification of firmware behavior and hardware fidelity.
• Regulatory Compliance: Meeting the most stringent requirements for explainability and provenance in safety-critical environments.

Modern AI workloads execute billions of instructions per second. In multi-tenant, cloud-based, or regulated environments, the opacity of this execution layer presents unacceptable risks:

1. Lack of Attribution: Unexpected model outputs cannot be definitively traced to specific computational events.
2. Hardware Opacity: Silent data corruption or firmware-level anomalies may go undetected.
3. Provenance Uncertainty: There is no cryptographic proof that a specific workload was executed on specific hardware at a specific time.

GIATS-1.0 closes this gap by mandating the generation of an Instruction Audit Record (IAR) for every executed instruction.

Implementing GIATS-1.0 provides the following capabilities:

• Instruction-Level Logging: Capture of opcode, operands, and result flags for every execution cycle.
• Cryptographic Verification: Chained hashing of instruction records to ensure tamper-evident logs.
• Hardware Contextualization: Detailed capture of SM (Streaming Multiprocessor), warp, and lane identifiers.
• Environmental Telemetry: Association of power, thermal, and clock state with specific execution events.

This repository contains the core specification documents for GIATS-1.0.

• RFC-001: GIATS-1.0 Specification - The technical definition of the standard, including the data model and transport requirements.

GIATS-1.0 is designed for enterprise environments requiring the highest levels of assurance. We invite collaboration from hardware vendors, cloud providers, and regulatory bodies to refine and implement this standard.

For inquiries regarding implementation strategies or working group participation, please contact the author.