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About

Amazon SageMaker Model Training reduces the time and cost to train and tune machine learning (ML) models at scale without the need to manage infrastructure. You can take advantage of the highest-performing ML compute infrastructure currently available, and SageMaker can automatically scale infrastructure up or down, from one to thousands of GPUs. Since you pay only for what you use, you can manage your training costs more effectively. To train deep learning models faster, SageMaker distributed training libraries can automatically split large models and training datasets across AWS GPU instances, or you can use third-party libraries, such as DeepSpeed, Horovod, or Megatron. Efficiently manage system resources with a wide choice of GPUs and CPUs including P4d.24xl instances, which are the fastest training instances currently available in the cloud. Specify the location of data, indicate the type of SageMaker instances, and get started with a single click.

About

Don't change your day-to-day, works with Jupyter Notebooks and any other Python environment. Simply call modelbi.deploy to deploy your model, and let Modelbit carry it — and all its dependencies — to production. ML models deployed with Modelbit can be called directly from your warehouse as easily as calling a SQL function. They can also be called as a REST endpoint directly from your product. Modelbit is backed by your git repo. GitHub, GitLab, or home grown. Code review. CI/CD pipelines. PRs and merge requests. Bring your whole git workflow to your Python ML models. Modelbit integrates seamlessly with Hex, DeepNote, Noteable and more. Take your model straight from your favorite cloud notebook into production. Sick of VPC configurations and IAM roles? Seamlessly redeploy your SageMaker models to Modelbit. Immediately reap the benefits of Modelbit's platform with the models you've already built.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies in need of a solution to train ML models quickly and cost effectively

Audience

Data scientists searching for a complete Machine Learning solution

Support

Phone Support Not Supported
24/7 Live Support Supported
Online 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

Screenshots and Videos

Pricing

No information available.
Free Version Not 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 Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/train/

Company Information

Modelbit
Founded: 2022
United States
www.modelbit.com

Alternatives

Alternatives

Categories

Categories

Integrations

PyTorch Supported
TensorFlow Supported
Amazon Redshift Not Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
BERT Supported
CodeGPT Supported
DALL·E 2 Supported
Databricks Not Supported
Deepnote Not Supported
GitHub Not Supported
GitLab Not Supported
Google Colab Not Supported
Hugging Face Supported
Jupyter Notebook Not Supported
NVIDIA NeMo Megatron Supported
Snowflake Not Supported

Integrations

PyTorch Supported
TensorFlow Supported
Amazon Redshift Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
BERT Not Supported
CodeGPT Not Supported
DALL·E 2 Not Supported
Databricks Supported
Deepnote Supported
GitHub Supported
GitLab Supported
Google Colab Supported
Hugging Face Not Supported
Jupyter Notebook Supported
NVIDIA NeMo Megatron Not Supported
Snowflake Supported
Claim Amazon SageMaker Model Training and update features and information
Claim Amazon SageMaker Model Training and update features and information
Claim Modelbit and update features and information
Claim Modelbit and update features and information