NexQloud Knowledge Base

Discover tailored support solutions designed to help you succeed with NexQloud, no matter your question or challenge.

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TOPICS

Cloud vs. Edge Inference: Choosing the Right Deployment

How AI Inference Works: A Three-Step Process

The AI Lifecycle: Training vs. Fine-Tuning vs. Inference

The Nexqloud Advantage for AI Inference

Your Partner in Operationalizing AI

Real-World Use Cases for Enterprise Developers

Real-World Use Cases for Enterprise Developers

AI inference is powering intelligent applications across every industry:

Real-time Fraud Detection: Analyze transaction data in milliseconds to flag fraudulent credit card purchases as they happen.‍
Personalized Recommendations: Serve tailored product or content suggestions to users based on their real-time behavior on your website or app.‍
Intelligent Document Processing: Automatically extract key information (like invoices or contracts) from thousands of documents in a batch process.‍
Predictive Maintenance: Analyze sensor data from factory equipment in real-time to predict failures before they occur, avoiding costly downtime.‍
Content Moderation: Use vision models to automatically scan and flag inappropriate user-generated images or videos at scale.