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.
Six Languages
Each language was chosen for a specific job. No language does everything. Together they form the coherence substrate.
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, PennyLane, The Walrus, Lava integration. ML research and quantum-inspired optimization.
Mandelbulb fractal coherence, cuBLAS, cuFFT. GPU-accelerated hot paths on GB200 nodes.
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 |
