Edge compute + Frontier Cloud LLM
Small-scope inference on real silicon. Large-scope work on core Frontier Cloud LLMs. Secure, isolated business jailbox context when proprietary data is in play.
Constrained Hardware Profiles
Our runtime is engineered specifically for physical target chips with strict memory and power envelopes.
i.MX9-class
Optimized for NXP i.MX9 series application processors, utilizing integrated neural processing units (NPUs) for low-power, deterministic inference.
Jetson-class
High-throughput execution utilizing NVIDIA Jetson platforms, maximizing GPU-accelerated parallel processing and TensorRT integration.
Constrained Memory
Tailored memory management strategies designed to operate reliably within tight RAM boundaries, preventing out-of-memory (OOM) crashes.
Release Engineering Flow
A secure, automated lifecycle that prepares, validates, and deploys models to physical devices.
1. BUILD & QUANTIZE
Cloud-native model preparation, optimization, and INT8/INT4 quantization tailored to target hardware profiles.
2. EVALUATE & SIGN
Rigorous accuracy and latency benchmarking. Cryptographic signing of the model artifact to establish absolute provenance.
3. VERIFY & RUN
On-device cryptographic signature verification followed by deterministic, offline-first execution on the target silicon.
Cloud connection for large-scope work
Frontier models are the core cloud brain — used for large-scope inference, evaluation judges, and packaging CI before edge release.
Google Cloud · Gemini / Vertex
Frontier LLM path for large-scope reasoning and automated accuracy/latency evaluation before models are packaged for the edge.
Alibaba Cloud · Model Studio / Qwen
Dual-stack frontier path for large-scope inference and comparative evaluation of packaging candidates destined for edge runtimes.
Secure escalate + Packaging CI
Policy-controlled cloud link from edge devices, plus CI that signs optimized weights, metadata, and runtime configs into deployable artifacts.
Business jailbox context
Custom isolated cloud sessions for proprietary business knowledge — sealed from generic shared context.
Tenant / workload isolation
Separate context boundaries per business or fleet so internal data does not mix across customers or projects.
Custom policy context
Attach company rules, documents, and tools inside a controlled session with clear retention and revoke paths.
Edge-first data boundary
Default remains local inference. Cloud jailbox opens only under explicit policy for large-scope, approved workloads.
Production-grade security
Firmware-grade discipline for edge packages, cloud escalate paths, and jailbox sessions.
Signed Artifacts
Every model package is cryptographically signed at the control plane and verified on-device before execution, preventing unauthorized model injection.
Local-first data boundary
By default, inference stays on-device. Cloud paths open only under policy — with isolated jailbox context for approved large-scope business workloads.
Auditable Releases
Version history, evaluation reports, and provenance logs for edge packages and controlled cloud sessions.
Embedded Systems Discipline
Our technology is built on a deep foundation of low-level systems engineering.
Embedded Linux & Drivers
Deep expertise in bootloader customization, kernel driver optimization, and Yocto/BitBake BSP layers to ensure seamless hardware integration.
Robust OTA Frameworks
Leveraging industry-standard OTA update concepts (such as RAUC and SWUpdate) to deliver atomic, fail-safe model updates to distributed fleets.
Deterministic Execution
Eliminating non-deterministic runtime behaviors to guarantee predictable latency and resource utilization on physical target chips.
From literature to product architecture
ByteHub AI’s hybrid design is grounded in a public technical research note on local LLMs, edge-cloud routing, and firmware-grade model delivery.
Hybrid patterns & routing
Edge-first escalation, router-split, and confidence cascading — mapped to our Frontier Cloud connection policy.
Hardware case matrix
i.MX9-class, Jetson-class, MCU, and air-gapped profiles with explicit cloud roles.
Jailbox isolation
Secure tenant context when large-scope inference must leave the device boundary.
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