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Description
An all-inclusive platform that offers a wide array of machine learning algorithms tailored to fulfill your data mining and analytical needs. The Machine Learning Platform for AI delivers comprehensive machine learning solutions, encompassing data preprocessing, feature selection, model development, predictions, and performance assessment. This platform integrates these various services to enhance the accessibility of artificial intelligence like never before. With a user-friendly web interface, the Machine Learning Platform for AI allows users to design experiments effortlessly by simply dragging and dropping components onto a canvas. The process of building machine learning models is streamlined into a straightforward, step-by-step format, significantly boosting efficiency and lowering costs during experiment creation. Featuring over one hundred algorithm components, the Machine Learning Platform for AI addresses diverse scenarios, including regression, classification, clustering, text analysis, finance, and time series forecasting, catering to a wide range of analytical tasks. This comprehensive approach ensures that users can tackle any data challenge with confidence and ease.
Description
Amazon SageMaker Model Training streamlines the process of training and fine-tuning machine learning (ML) models at scale, significantly cutting down both time and costs while eliminating the need for infrastructure management. Users can leverage top-tier ML compute infrastructure, benefiting from SageMaker’s capability to seamlessly scale from a single GPU to thousands, adapting to demand as necessary. The pay-as-you-go model enables more effective management of training expenses, making it easier to keep costs in check. To accelerate the training of deep learning models, SageMaker’s distributed training libraries can divide extensive models and datasets across multiple AWS GPU instances, while also supporting third-party libraries like DeepSpeed, Horovod, or Megatron for added flexibility. Additionally, you can efficiently allocate system resources by choosing from a diverse range of GPUs and CPUs, including the powerful P4d.24xl instances, which are currently the fastest cloud training options available. With just one click, you can specify data locations and the desired SageMaker instances, simplifying the entire setup process for users. This user-friendly approach makes it accessible for both newcomers and experienced data scientists to maximize their ML training capabilities.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
Amazon SageMaker
Amazon Web Services (AWS)
BERT
CodeGPT
DALL·E 2
Hugging Face
NVIDIA NeMo Megatron
PyTorch
TensorFlow
Integrations
Alibaba Cloud
Amazon SageMaker
Amazon Web Services (AWS)
BERT
CodeGPT
DALL·E 2
Hugging Face
NVIDIA NeMo Megatron
PyTorch
TensorFlow
Pricing Details
$1.872 per hour
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba Cloud
Founded
2008
Country
China
Website
www.alibabacloud.com/product/machine-learning
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/train/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
