ingests telemetry, metrics, logs, and network signals from connected IoT devices. An NVIDIA-powered AI engine processes this data in real time to detect anomalies, identify performance degradation, and forecast potential failures. These signals are consolidated into a unified IoT Network Health Score, giving teams a clear, actionable view of overall network stability.

How it works: - Collects real-time IoT telemetry and network data

- Analyzes patterns using NVIDIA-accelerated AI pipelines

- Detects anomalies and predicts failures before incidents occur

- Translates complex signals into human-readable insights

- Delivers alerts and recommendations via dashboards and integrations

Geek Stech leverages NVIDIA Morpheus for real-time anomaly detection, NVIDIA RAPIDS for GPU-accelerated analytics, and NVIDIA NeMo to generate natural-language insights. Models are optimized using TensorRT and deployed through NVIDIA Triton Inference Server for scalable, low-latency inference.

Key features include: - Unified IoT Network Health Score

-Predictive maintenance and proactive alerts

- AI-driven root cause analysis

- Role-based dashboards for operations and leadership

- Integrations with Grafana, Datadog, PagerDuty, and Scaleway

The platform supports SaaS, hybrid, and on-premises deployments with enterprise-grade security, enabling organizations to reduce downtime, improve reliability, and scale IoT operations with confidence.