Every layer engineered to work as one system.
217+ keywords, Python-compatible superset.
Patent-pending. Single source to 8 targets.
Auto hardware detection and intelligent routing.
3.56x via quantization and KV-cache.
CI/CD, compliance, monitoring built in.
Pre-built SmartApps for common tasks.
// tiny_attention.ns - 34 lines to 8 targets model TinyAttention { precision: int4 kv_cache: { compress: true } device: "auto" layer attention(x) { q, k, v = linear(x, heads: 8) return softmax(q @ k.T) @ v } } TinyAttention >> pipeline("deploy")