Neural Fabric

Inference at the speed of perception.

Topologi & Alur Arsitektur

Arsitektur Sistem Neural Fabric

Manifesto Produk

“The gap between model capability and deployment reality is where most AI dies. Neural Fabric closes that gap. It's a distributed inference substrate that orchestrates model execution across heterogeneous compute — from cloud TPUs to 4W edge chips — with a unified API surface and sub-15ms p95 latency on-device.”

Distributed inference across heterogeneous compute

Eksekusi subgraph model secara dinamis pada silikon paling efisien — cloud TPU untuk layer berat, ARM NPU 4W untuk token latensi-kritis.

Model sharding with automatic load balancing

Memecah bobot 405B parameter ke beberapa node tanpa degradasi throughput p95 atau lock contention.

Adaptive quantization without accuracy loss

Mendeteksi sensitivitas presisi per-layer (INT4/INT8/BF16) untuk efisiensi energi 6.2× dengan deviasi akurasi <0.3%.

Hardware-aware kernel compilation

Kompilasi JIT langsung ke SIMD/NEON intrinsics tanpa overhead runtime interpretif atau garbage collection.

Real-time telemetry and drift detection

Deteksi pergeseran kovariat input dalam rentang 3 jam tanpa membutuhkan ground-truth labels.

Zero-downtime model hot-swap

Pembaruan bobot model secara atomik di memori tanpa memutus antrean inferensi aktif atau menjatuhkan koneksi client.