Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DeepSpeed is an open-source library focused on optimizing deep learning processes for PyTorch. Its primary goal is to enhance efficiency by minimizing computational power and memory requirements while facilitating the training of large-scale distributed models with improved parallel processing capabilities on available hardware. By leveraging advanced techniques, DeepSpeed achieves low latency and high throughput during model training.
This tool can handle deep learning models with parameter counts exceeding one hundred billion on contemporary GPU clusters, and it is capable of training models with up to 13 billion parameters on a single graphics processing unit. Developed by Microsoft, DeepSpeed is specifically tailored to support distributed training for extensive models, and it is constructed upon the PyTorch framework, which excels in data parallelism. Additionally, the library continuously evolves to incorporate cutting-edge advancements in deep learning, ensuring it remains at the forefront of AI technology.
Description
With Determined, you can engage in distributed training without needing to modify your model code, as it efficiently manages the provisioning of machines, networking, data loading, and fault tolerance. Our open-source deep learning platform significantly reduces training times to mere hours or minutes, eliminating the lengthy process of days or weeks. Gone are the days of tedious tasks like manual hyperparameter tuning, re-running failed jobs, and the constant concern over hardware resources. Our advanced distributed training solution not only surpasses industry benchmarks but also requires no adjustments to your existing code and seamlessly integrates with our cutting-edge training platform. Additionally, Determined features built-in experiment tracking and visualization that automatically logs metrics, making your machine learning projects reproducible and fostering greater collaboration within your team. This enables researchers to build upon each other's work and drive innovation in their respective fields, freeing them from the stress of managing errors and infrastructure. Ultimately, this streamlined approach empowers teams to focus on what they do best—creating and refining their models.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon S3
No
Amazon SageMaker
No
Amazon Web Services (AWS)
No
Apache Airflow
No
Apache Spark
No
Axolotl
Yes
Cake AI
Yes
Comet LLM
Yes
Google Cloud Platform
No
Hadoop
No
Integrations
Amazon S3
Yes
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
Apache Airflow
Yes
Apache Spark
Yes
Axolotl
No
Cake AI
No
Comet LLM
No
Google Cloud Platform
Yes
Hadoop
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.deepspeed.ai/
Vendor Details
Company Name
Determined AI
Country
United States
Website
www.determined.ai/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No