PQC-hardened framework for encrypted CPU-GPU tensor transfers and driver attestation. ML-KEM-768 channel keys, AES-256-GCM per-transfer encryption with AAD binding, ML-DSA signed driver attestations. Pluggable CUDA/ROCm backends. 24 tests passing.
Use this model
Pull with QuantumShield
quantumshield pull quantmrkt/PQC-Hardened GPU Driver Verify integrity
quantumshield verify quantmrkt/PQC-Hardened GPU Driver pip install
pip install quantumshield && quantumshield pull quantmrkt/PQC-Hardened GPU Driver PQC-Verified with ML-DSA-87
This model has a real FIPS 204 ML-DSA-87 (Dilithium5) signature from the platform signing authority. Signature chain includes 3 verification(s). Last verified 2026-03-26.
README.md
PQC-Hardened GPU Driver
PQC-hardened framework for encrypted CPU-GPU tensor transfers and driver attestation. ML-KEM-768 channel keys, AES-256-GCM per-transfer encryption with AAD binding, ML-DSA signed driver attestations. Pluggable CUDA/ROCm backends. 24 tests passing.
Model Details
| Framework | C/CUDA |
| Parameters | N/A |
| License | GPL-2.0 |
| Signature Algorithm | ML-DSA-87 |
| Source | github |
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. All files have been cryptographically verified using post-quantum signatures.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull quantmrkt/PQC-Hardened GPU Driver # Verify file integrity quantumshield verify quantmrkt/PQC-Hardened GPU Driver
About
PQC-hardened framework for encrypted CPU-GPU tensor transfers and driver attestation. ML-KEM-768 channel keys, AES-256-GCM per-transfer encryption with AAD binding, ML-DSA signed driver attestations. Pluggable CUDA/ROCm backends. 24 tests passing.
Get this model
Pull with QuantumShield
quantumshield pull quantmrkt/PQC-Hardened GPU Driver Verify signatures
quantumshield verify quantmrkt/PQC-Hardened GPU Driver