DeepSpeed vs. MXNet Comparison


DeepSpeed Microsoft	MXNet The Apache Software Foundation	+	+
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About DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training. DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU. DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.	About A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Deep learning model developers	Audience Developers and researchers requiring an open-source deep learning framework for research prototyping and production
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Not Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Open source Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States www.deepspeed.ai/	Company Information The Apache Software Foundation Founded: 1999 United States mxnet.apache.org
Alternatives Horovod	Alternatives Deeplearning4j
Unsloth	AWS Deep Learning AMIs Amazon
GPT-NeoX EleutherAI	Horovod
AWS Neuron Amazon Web Services	Apache NuttX Apache
Amazon SageMaker Model Training Amazon View All	Caffe BAIR View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported

Integrations AWS Marketplace Not Supported Amazon EC2 Inf1 Instances Not Supported Amazon Elastic Inference Not Supported Amazon SageMaker Debugger Not Supported Amazon SageMaker Model Building Not Supported Axolotl Supported Cake AI Supported Cameralyze Not Supported Flower Not Supported GPUonCLOUD Not Supported Google Cloud Deep Learning VM Image Not Supported Gradient Not Supported Guild AI Not Supported Horovod Not Supported LeaderGPU Not Supported MLReef Not Supported NVIDIA Triton Inference Server Not Supported Nurix Supported PyTorch Supported Show More Integrations View All 6 Integrations	Integrations AWS Marketplace Supported Amazon EC2 Inf1 Instances Supported Amazon Elastic Inference Supported Amazon SageMaker Debugger Supported Amazon SageMaker Model Building Supported Axolotl Not Supported Cake AI Not Supported Cameralyze Supported Flower Supported GPUonCLOUD Supported Google Cloud Deep Learning VM Image Supported Gradient Supported Guild AI Supported Horovod Supported LeaderGPU Supported MLReef Supported NVIDIA Triton Inference Server Supported Nurix Not Supported PyTorch Not Supported Show More Integrations View All 18 Integrations
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