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 memory engine at datacenter scale.
Language Stack
Proprietary Language + 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 architecture →
Rank‑1 neomorphic language. Visual frames, sacred geometry, Nexus dispatch constructs. Written in Proprietary Language, runs on light.
Pipeline orchestration, GenServer supervision, Phoenix API, fault-tolerant real-time coordination.
Zero-copy memory engine, proprietary addressing layer, tamper-evident audit trail, and crash-safe storage. Memory-safe, no GC pauses.
Operational sidecars: health checks, backup, Prometheus metrics, open-model bridge, mesh membership.
MLX / MPS, today's leading quantum frameworks, agent glue, gateway orchestration. Research and sovereign ops host.
Apple GPU/UMA hot paths, brain-inspired compute graphs, proprietary programming language — 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) |
|---|---|---|
| Memory Write Latency | <1 ms | <0.5 ms |
| Memory Recall Latency | <1 ms | <0.20 ms |
| Pipeline | Real-time | Real-time |
| Brain-Inspired Compute Speedup | 3.7–4.1x vs V100 | N/A (CUDA path) |
| Memory Bandwidth | 546 GB/s | ~7.2 TB/s |
| Memory Scale | Edge-optimized | Full scale |
| Power Envelope | ~30W | ~2.4 kW |