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.
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
Increase Speed
GPU class performance in your existing CPU setup
Reduce Cost
Run multiple models on the same CPU instance
Improve Accuracy
Increase the accuracy with bigger models and bigger data
