Production Inference Layer

Hybrid Edge AI Infrastructure for Production Inference.

Google Cloud-aligned platform for low-latency real-time inference, enterprise deployment, and global distribution readiness. Repository-backed implementation, validated hardware stack, and cloud-to-edge architecture for production workloads.

Throughput
396.8 FPS
YOLOv8s Validated
Latency
9.53 ms
Real-time Inference
Power Envelope
5.22 W
Average Consumption
Deployment
JetPack 6.0
Golden Image Ready
Google Cloud Build Partner
NVIDIA Developer Partner
GCP Marketplace Vendor Aligned
13 Registered Trademarks (UK)

Built for Distributed Inference,
Not Demo Environments.

Enterprise AI deployment is fundamentally shifting from centralized experimentation to distributed inference. Production environments demand low-latency, deterministic local processing that cloud-only architectures cannot sustain.

Designed specifically for private, sovereign, and telco-adjacent environments, this platform bridges the gap between centralized cloud orchestration (GCP) and deterministic, real-time edge execution (NVIDIA + Hailo).

Deterministic Execution

Predictable sub-10ms latency for mission-critical workloads.

Sovereign Control

Local processing ensures total data privacy and compliance.

Fleet Management

Cloud-orchestrated lifecycle management at global scale.

Thermal Stability

Engineered for sustained operation under high SSD I/O.

Validated Performance

Comparative Performance Metrics (Validation 2026)

Parameter SynQ AI Axiom (NPU Hailo-8) Standard Approach (Baseline GPU)
Performance (FPS) 396.8 FPS (YOLOv8s) ~110–140 FPS (drops under I/O pressure)
Latency 9.53 ms (real-time) >15 ms (aggregate latency)
SSD Write Throughput 1.1 GB/s sustained Unstable under GPU load
Power Consumption 5.22 W average 10–15 W (higher thermal load)
Hardware Resource Model Heterogeneous: NPU + TPU + GPU Integrated GPU only

Production Readiness

The system has completed full hardware validation. A JetPack 6.0-based Golden Image has been prepared and is ready for immediate production deployment in critical infrastructure environments. The integrated Google Coral TPU module provides additional reserve compute capacity for background security workloads such as face recognition and audio analytics without loading primary inference channels.

Cloud-to-Edge Architecture

Structured for fleet-scale rollout and centralized management.

Google Cloud Layer

Cloud Control Plane & Marketplace Distribution

Orchestration / Telemetry / Policy

Fleet Management & Secure Data Pipelines

Edge Node: SynQ AI Axiom

Production Deployment Model

Heterogeneous Execution Layer

Hailo-8 NPU
Local Real-Time Inference
Google Coral TPU
Background Security Analytics
NVIDIA GPU (Orin)
Parallel Compute & Vision
NVMe SSD Storage
High-Throughput Local I/O

Intellectual Property Fortress

13 Registered & Published Trademarks safeguarding our infrastructure and algorithms under UK Law.

SYNQAI
Classes 9, 38
SYNQAGI
Classes 9, 35, 42
HYBT
Classes 9, 35, 42
QBITBZ
Classes 9, 38, 42
GENCITY
Classes 9, 35, 38, 41, 42+
AISCTECH
Classes 9, 35, 41, 42
QAZTECH
Classes 9, 35, 38, 41, 42+
SMART POLICE
Classes 9, 35, 38, 41, 42+
D.I.G.I.T.A.L...
Class 42
gtxt / soile
Classes 9, 38, 39, 41, 42

Global Distribution Path

This solution is strictly aligned for distribution through the Google Cloud Marketplace and partner ecosystem. Enterprise customers can seamlessly adopt this platform through existing, approved procurement paths.

By circumventing fragmented hardware sales, this architecture establishes a scalable go-to-market motion. This is not just a technical stack—it is a distribution-ready infrastructure layer.

We combine production-ready edge AI infrastructure with a cloud-native enterprise distribution path.

Google Cloud Marketplace

Streamlined Enterprise Procurement

  • Unified billing against existing GCP commits.
  • Rapid procurement via approved vendor pathways.
  • Global deployment alignment with Cloud Partner ecosystem.

Deployment Scenarios

Sovereign / Private Edge AI

Deploy models locally in highly secure, air-gapped, or strictly regulated environments. Ensures total data sovereignty while maintaining low-latency execution.

Smart City Vision Inference

Process multiple high-definition video streams locally. Drastically reduces bandwidth costs and ensures deterministic processing for critical municipal analytics.

Telco-Adjacent Edge Compute

Integrate inference directly into 5G/MEC nodes. Enables hyper-local processing for latency-sensitive applications requiring scalable, automated rollouts.

Align Infrastructure, Deployment, and Distribution.

The platform is prepared for comprehensive ecosystem alignment across edge compute provisioning, cloud orchestration, and enterprise procurement channels.