Are MLOps disappearing?

5x Faster YOLOv8 on CPUs

Deploy Fast and Accurate YOLOv8 Object Detection Models on CPUs You Already Have

Unlock Faster and More Efficient LLMs with SparseGPT

Pruning and Quantizing ML Models With One Shot Without Retraining

Sparse Transferring Hugging Face Models With SparseML

Apply Second-Order Pruning Algorithms for SOTA Model Compression

Use Sparse Transfer Learning to Create Sparse Models Fine-Tuned to Your Datasets

Intro to SparseML

Accelerate Image Segmentation Tasks With Sparsity and the DeepSparse Runtime

Accelerate Image Classification Tasks With Sparsity and the DeepSparse Runtime

Accelerate Object Detection Tasks With Sparsity and the DeepSparse Runtime

Intro to DeepSparse Runtime

Intro to Deep Learning Model Sparsification

Intro to SparseZoo

Intro to Neural Magic & Software-Delivered AI

Accelerate NLP 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

State-of-the-Art NLP Compression Research in Action: Understanding Crypto Sentiment

How to Compress Your BERT NLP Models For Very Efficient Inference

3.5x Faster NLP BERT Using a Sparsity-Aware Inference Engine on AMD Milan-X

Deep Sparse Platform Demo: Build and Deploy Accurate Deep Learning Models Faster

How to Sparsify BERT for Better CPU Performance & Smaller File Size

Faster & More Accurate BERT Models on CPUs

Sparsifying YOLOv5 for 10x Better Performance, 12x Smaller File Size, and Cheaper Deployment

YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance and Tiny Footprint

YOLOv3 on the Edge: DeepSparse Engine vs. PyTorch