Related Products
|
||||||
About
Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.
|
About
Gemini Enterprise Agent Platform Notebooks provide a unified environment for data science workflows, combining the flexibility of Colab Enterprise with the power of Agent Platform Workbench. These notebooks enable users to explore data, build models, and deploy solutions without switching between multiple tools. With seamless integration into Google Cloud services like BigQuery and Apache Spark, users can analyze large datasets directly within the notebook interface. The platform supports rapid prototyping and model development by offering scalable compute resources and AI-powered coding assistance. It allows teams to move from experimentation to production efficiently using end-to-end workflows. Fully managed infrastructure ensures scalability, cost optimization, and minimal operational overhead. Enterprise-grade security features such as single sign-on and access controls provide a safe environment for development.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Enterprises in search of a solution to build machine learning models efficiently
|
Audience
Data scientists, machine learning engineers, and enterprise development teams looking for a secure, scalable, and unified platform for end-to-end AI and data science workflows
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$10 per GB
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/build/
|
Company InformationGoogle
Founded: 1998
United States
cloud.google.com/products/gemini-enterprise-agent-platform/notebooks
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Jupyter Notebook
PyTorch
TensorFlow
1min.AI
Amazon SageMaker
Apache Spark
Cline
Gemini 3 Deep Think
Gemini 3.1 Pro
Gemini 3.5 Pro
|
Integrations
Jupyter Notebook
PyTorch
TensorFlow
1min.AI
Amazon SageMaker
Apache Spark
Cline
Gemini 3 Deep Think
Gemini 3.1 Pro
Gemini 3.5 Pro
|
|||||
|
|
|
