Architecture & Hardware
From a $4K laptop to a datacenter rack. Apple M4 Max for sovereign edge. NVIDIA GB200 NVL72 for mesh compute. Same coherence pipeline on both.
Dual Substrate
48 GB unified LPDDR5. 40-core Metal 3 GPU. 38 TOPS Neural Engine. Full cognitive stack running locally at ~30W. Air-gap capable. Your data never leaves your hardware.
Dual Grace Neoverse V2 (144 cores). 4x Blackwell GPUs. 864 GB total memory. 7.2 TB/s aggregate bandwidth. 900 GB/s NVLink C2C. Bare-metal FHRR at D=16,384.
Language Stack
LUV + Symbolic Ontology is the source-of-truth surface. Rust, BEAM, Go, Julia, Metal/NIR/QIL, Python, and TypeScript implement — they do not own the meaning layer. Explore LUV →
Rank‑1 neomorphic language. Visual frames, sacred geometry, Nexus dispatch constructs. Written in LUV, runs on light.
Pipeline orchestration, GenServer supervision, Phoenix API, fault-tolerant real-time coordination.
Zero-copy FHRR NIFs, E8 decoder, Merkle tree, WAL writer. Memory-safe, no GC pauses.
Operational sidecars: health checks, backup, Prometheus metrics, Ollama bridge, memberlist SWIM.
MLX / MPS, PennyLane, agent glue, gateway orchestration. Research and sovereign ops host.
Apple GPU/UMA hot paths, neuromorphic graphs, photonic IR — never CUDA on the sovereign edge.
Numerical computing in Elixir. EXLA backend for XLA compilation. LiveBook for interactive development.
Benchmarks
| Metric | M4 Max (Edge) | GB200 (Mesh) |
|---|---|---|
| FHRR Bind Latency | <1 ms | <0.5 ms |
| FHRR Recall Latency | <1 ms | <0.20 ms |
| Pipeline Tick | 33 ms (30 Hz) | 33 ms (30 Hz) |
| SNN Speedup | 3.7–4.1x vs V100 | N/A (CUDA path) |
| Memory Bandwidth | 546 GB/s | ~7.2 TB/s |
| FHRR Dimension | D=8,192 | D=16,384 |
| Power Envelope | ~30W | ~2.4 kW |
