Ground Zero: ORDL NLDA MK-II Deterministic Inference Engine

Author: Winsock

Publication ID: ORDL-0001

ORDL NLDA MK-II | Ground Zero Documentation

Document the deterministic 64M-parameter transformer architecture written entirely in pure C23, establishing the baseline for all subsequent NLDA development. Establish zero-external-dependency guarantees and cryptographic output verification.

C23 compiler (GCC 14+ or Clang 18+), POSIX-compliant target system, 64MB contiguous RAM per inference instance, SHA-256 hardware acceleration preferred.

Hand-written matrix kernels using C23 constexpr where possible. Custom attention mechanism without external BLAS. Static allocation to eliminate runtime heap fragmentation. Deterministic PRNG seeded from input hash for reproducible outputs.

Inference latency sub-50ms on consumer hardware for 4K token contexts. Output bit-for-bit identical across x86_64 and ARM64 builds. No floating-point nondeterminism detected under extended stress testing.

Verified 64M parameter count. Zero dynamic allocations during inference hot path. All unit tests pass under ASan, UBSan, and Valgrind. Static binary size 14.2MB with musl libc.

The C23 rewrite eliminates all C++ runtime dependencies, reducing attack surface by an order of magnitude. The deterministic output guarantee enables cryptographic chaining and reproducible scientific results.

NLDA MK-II Base establishes the definitive deterministic inference runtime. All downstream variants (Memory, Tool, Mesh, Quantized) inherit this foundation. Production-ready for edge and data-center deployment.

First pure-C23 transformer at 64M parameters with verified deterministic output. Eliminates supply-chain risks from C++ STL and external math libraries. Enables formal verification of inference paths.