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What is Umbrelly Cloud?

Umbrelly Cloud is a platform focused on optimizing AWS usage to lower cloud costs significantly. By utilizing shared AWS plans, it can deliver savings of up to 25%, providing a competitive edge for its users. On average, customers experience cost reductions of about 19.3%, all while maintaining high performance and service quality. The automated optimization process employed by Umbrelly guarantees adherence to AWS Terms and Conditions, ensuring a smooth user experience. Moreover, Umbrelly Cloud not only facilitates substantial financial savings but also enhances resource utilization, leading to better financial predictability for businesses. This dual benefit makes it an appealing choice for organizations looking to optimize their cloud expenditures.

What is Amazon SageMaker Model Training?

Amazon SageMaker Model Training simplifies the training and fine-tuning of machine learning (ML) models at scale, significantly reducing both time and costs while removing the burden of infrastructure management. This platform enables users to tap into some of the cutting-edge ML computing resources available, with the flexibility of scaling infrastructure seamlessly from a single GPU to thousands to ensure peak performance. By adopting a pay-as-you-go pricing structure, maintaining training costs becomes more manageable. To boost the efficiency of deep learning model training, SageMaker offers distributed training libraries that adeptly spread large models and datasets across numerous AWS GPU instances, while also allowing the integration of third-party tools like DeepSpeed, Horovod, or Megatron for enhanced performance. The platform facilitates effective resource management by providing a wide range of GPU and CPU options, including the P4d.24xl instances, which are celebrated as the fastest training instances in the cloud environment. Users can effortlessly designate data locations, select suitable SageMaker instance types, and commence their training workflows with just a single click, making the process remarkably straightforward. Ultimately, SageMaker serves as an accessible and efficient gateway to leverage machine learning technology, removing the typical complications associated with infrastructure management, and enabling users to focus on refining their models for better outcomes.

Media

No images available

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Lambda
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
BERT
CodeGPT
DALL·E 2
Hugging Face
NVIDIA NeMo Megatron
PyTorch
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
AWS Lambda
Amazon EC2
Amazon ElastiCache
Amazon Elastic Block Store (EBS)
Amazon OpenSearch Service
Amazon RDS
Amazon Redshift
BERT
CodeGPT
DALL·E 2
Hugging Face
NVIDIA NeMo Megatron
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Umbrelly.cloud

Date Founded

2022

Company Location

United States

Company Website

umbrelly.cloud/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/train/

Categories and Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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