Welcome to NeuralFlix

Browse our knowledge catalog to learn more on how to deploy deep learning models with GPU-class performance on commodity CPUs.

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Intro to Neural Magic & Software-Delivered AI
Intro to Deep Learning Model Sparsification

Intro to SparseZoo
Intro to SparseML
Intro to DeepSparse Runtime

Accelerate NLP Tasks With Sparsity and the DeepSparse Runtime
Accelerate Image Classification Tasks With Sparsity and the DeepSparse Runtime
Accelerate Image Segmentation Tasks With Sparsity and the DeepSparse Runtime
Accelerate Object Detection Tasks With Sparsity and the DeepSparse Runtime

Sparse Training of Neural Networks Using AC/DC
How Well Do Sparse Models Transfer?
How to Achieve the Fastest CPU Inference Performance for Object Detection YOLO Models
Workshop: How to Optimize Deep Learning Models for Production
How to Compress Your BERT NLP Models For Very Efficient Inference
Tissue vs. Silicon: The Future of Deep Learning Hardware
Sparsifying YOLOv5 for 10x Better Performance, 12x Smaller File Size, and Cheaper Deployment
Pruning Deep Learning Models for Success in Production

YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance and Tiny Footprint
YOLOv3 on the Edge: DeepSparse Engine vs. PyTorch
State-of-the-Art NLP Compression Research in Action: Understanding Crypto Sentiment
3.5x Faster NLP BERT Using a Sparsity-Aware Inference Engine on AMD Milan-X