Products
DeepSparse
Sparsity-aware neural network inference engine for GPU-class performance on CPUs.
SparseML
Open-source libraries for applying sparsification recipes to neural networks with a few lines of code.
SparseZoo
Open-source model repository for sparse and sparse-quantized models.
Use Cases
Natural Language Processing (NLP)
Get started with Sparse NLP use cases. Apply your data and redeploy on CPUs with ease.
Compute Vision
Get started with sparse computer vision use cases. Apply your data and deploy on CPUs with ease.
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Products
DeepSparse
SparseML
SparseZoo
Use Cases
Natural Language Processing (NLP)
Compute Vision
Community
Neural Magic Slack Community
Code
Docs
Labs
Labs by Neural Magic
Resources
Support
Blogs & News
Research Papers
Upcoming Events
On-Demand Videos
Our Technology
Subscribe
Company
Team & Investors
Careers
Contact
Legal
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Optimize for Inference
Deploy on CPUs
Quick Tour
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Installation
DeepSparse Community
DeepSparse Enterprise
SparseML
SparseZoo
Use a Model
NLP Text Classification
CV Object Detection
Custom Use Case
Transfer a Sparsified Model
NLP Text Classification
CV Object Detection
Sparsify a Model
Supported Integrations
Custom Integrations
Deploy a Model
NLP Text Classification
CV Object Detection
Use Cases
Natural Language Processing
Question Answering
Text Classification
Token Classification
Deploying
Image Classification
Sparsifying
Deploying
Object Detection
Sparsifying
Deploying
Embedding Extraction
User Guides
Sparsification
Recipes
Creating
Enabling Pipelines
ONNX Export
DeepSparse
Supported Hardware
Inference Types
Benchmarking
Diagnostics/Debugging
numactl Utility
DeepSparse Logging
Deploying DeepSparse
DeepSparse Server
Amazon SageMaker
AWS Lambda
Google Cloud Run
Products
DeepSparse
DeepSparse Community
CLI
Python API
C++ API
DeepSparse Enterprise
CLI
Python API
C++ API
SparseML
CLI
Python API
SparseZoo
Models
CLI
Python API
Details
Research Papers
Glossary
FAQs
Details
Research Papers
Edit on GitHub
Ask on Slack
Research Papers
Neural Magic Documentation