Powered by Nvidia

Glintect's AI inspection platform is built on Nvidia's GPU infrastructure — from model training in the cloud to real-time edge inference on the production floor.

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The Hardware Advantage

Why GPU Power Matters for Visual Inspection

Manufacturing defect detection is a compute-intensive problem. Achieving the speed and accuracy that production lines demand requires purpose-built GPU infrastructure at every stage — from training to deployment.

Training Speed

Training defect detection models on Nvidia A100 GPUs cuts iteration cycles from days to hours, letting us rapidly adapt to new defect types and customer production lines.

📷

Inference Throughput

Real-time inspection at production speeds demands parallel processing. Nvidia GPUs deliver the throughput needed to analyze every frame at up to 400 ft/min without dropped frames.

🎯

Model Accuracy

Larger batch sizes and higher-precision training on Nvidia hardware translate directly into higher detection accuracy and fewer false positives on the production floor.

Cloud Infrastructure

Cloud Training Infrastructure

Glintect trains all customer-specific defect detection models on Nvidia H100 and A100 Tensor Core GPUs hosted in our cloud training environment. These GPUs deliver up to 3.9 teraflops of FP64 performance and are purpose-built for the large-scale deep learning workloads required to achieve sub-millimeter defect detection accuracy across diverse manufacturing substrates.

Each customer model is trained on production imagery specific to their line, substrate, and defect taxonomy — ensuring high precision from day one without relying on generic off-the-shelf models.

Nvidia H100 GPU data center hardware for AI model training

Nvidia H100 Tensor Core GPU — cloud training infrastructure

Edge Deployment

Real-Time Edge Inference

Once trained, Glintect's models are deployed on Nvidia Jetson Orin edge modules installed directly at the production line. Jetson Orin delivers up to 275 TOPS of AI performance in a compact, fanless form factor — enabling real-time defect detection with sub-100ms latency without relying on cloud connectivity.

This means your inspection system keeps running even during network outages, with zero compromise on detection performance.

275 TOPS
AI Performance
<100ms
Inference Latency
0 Cloud
Dependencies at Runtime
Nvidia Jetson Orin edge AI module for production line deployment

Nvidia Jetson AGX Orin — edge inference at the production line

Certified Stack

Built on the Nvidia Software Stack

Glintect's inspection platform is built on Nvidia-certified hardware and software stack, including CUDA, TensorRT, and DeepStream SDK.

CUDA Parallel Computing Massively parallel GPU computation for model training and inference pipelines
📈 TensorRT Inference Optimization Production-optimized model deployment with int8 and fp16 quantization
🎥 DeepStream SDK for Video Analytics End-to-end streaming analytics pipeline for multi-camera inspection systems
Ready to See It Live?

See Nvidia-Powered Inspection in Action

Watch Glintect's platform detect sub-millimeter defects in real time on your production line — powered by Nvidia H100 training and Jetson Orin edge inference.