Use Cases

Real-time Recommendation Engine

Machine Learning Solutions for Personalization

Recommendation systems predict user preferences by using machine learning to understand past user behavior. For example, eCommerce and retail sites can use real-time recommendations powered by Neural Magic to create fine-tuned personalizations that improve customer loyalty, as well as increase conversion rates and cross-sell/upsell opportunities.

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Improving Performance of Machine Learning Recommendations

Today, when machine learning engineers run recommendation models on a CPU, they often make sacrifices that affect the quality of their predictions, reducing their:

  • Model Size
  • Input Size
  • Accuracy


Neural Magic addresses these limitations by generating GPU-class performance on a CPU.

Key Benefits

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