Audience

Deep learning model developers

About DeepSpeed

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.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

Ratings/Reviews

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Company Information

Microsoft
Founded: 1975
United States
www.deepspeed.ai/

Videos and Screen Captures

DeepSpeed Screenshot 1
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation

DeepSpeed Frequently Asked Questions

Q: What kinds of users and organization types does DeepSpeed work with?
Q: What languages does DeepSpeed support in their product?
Q: What other applications or services does DeepSpeed integrate with?
Q: What type of training does DeepSpeed provide?
Q: How much does DeepSpeed cost?

DeepSpeed Product Features

Deep Learning

Visualization
Image Segmentation
Document Classification
ML Algorithm Library
Self-Learning
Neural Network Modeling
Model Training
Convolutional Neural Networks