DeepSpeed vs. PyTorch Comparison


DeepSpeed Microsoft	PyTorch	+	+
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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 Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
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 Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported
Audience Deep learning model developers	Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
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 Not 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 Supported Live Online Not Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States www.deepspeed.ai/	Company Information PyTorch Founded: 2016 pytorch.org
Alternatives Horovod	Alternatives TensorFlow
Unsloth	Core ML Apple
GPT-NeoX EleutherAI	Create ML Apple
AWS Neuron Amazon Web Services	DeepSpeed Microsoft
Amazon SageMaker Model Training Amazon View All	AWS Neuron Amazon Web Services View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported Neural Network Supported

Integrations Comet LLM Supported Akira AI Not Supported Amazon EC2 G5 Instances Not Supported Cerebrium Not Supported Cirrascale Not Supported Dataoorts GPU Cloud Not Supported FakeYou Not Supported GPUEater Not Supported Hugging Face Transformers Not Supported Intel Open Edge Platform Not Supported Label Studio Not Supported LiteRT Not Supported MLReef Not Supported NVIDIA FLARE Not Supported NVIDIA TensorRT Not Supported NodeShift Not Supported SuperDuperDB Not Supported TorchMetrics Not Supported Unremot Not Supported neptune.ai Not Supported Show More Integrations View All 6 Integrations	Integrations Comet LLM Supported Akira AI Supported Amazon EC2 G5 Instances Supported Cerebrium Supported Cirrascale Supported Dataoorts GPU Cloud Supported FakeYou Supported GPUEater Supported Hugging Face Transformers Supported Intel Open Edge Platform Supported Label Studio Supported LiteRT Supported MLReef Supported NVIDIA FLARE Supported NVIDIA TensorRT Supported NodeShift Supported SuperDuperDB Supported TorchMetrics Supported Unremot Supported neptune.ai Supported Show More Integrations View All 150 Integrations
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