AWS Deep Learning AMIsAmazon
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GriptapeFoundry
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Related Products
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About
AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.
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About
Build, deploy, and scale end-to-end AI applications in the cloud.
Griptape gives developers everything they need to build, deploy, and scale retrieval-driven AI-powered applications, from the development framework to the execution runtime.
🎢 Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step.
☁️ Griptape Cloud is a one-stop shop to hosting your AI structures, whether they are built with Griptape, another framework, or call directly to the LLMs themselves. Simply point to your GitHub repository to get started.
🔥 Run your hosted code by hitting a basic API layer from wherever you need, offloading the expensive tasks of AI development to the cloud.
📈 Automatically scale workloads to fit your needs.
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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
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Deep Learning solution that helps developers quickly build scalable, secure deep learning applications
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Audience
Developers looking to design, build, deploy, and scale AI applications.
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Pricing for additional usage:
- $1 per GB - $.01 per query - $0.25 per hour ($0.00007/second)
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 2006
United States
aws.amazon.com/machine-learning/amis/
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Company InformationFoundry
Founded: 2022
United States
www.griptape.ai/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
AWS Marketplace
Supported
AWS Neuron
Supported
Amazon EC2 G5 Instances
Supported
Amazon EC2 Inf1 Instances
Supported
Amazon EC2 P4 Instances
Supported
Amazon EC2 Trn1 Instances
Supported
Amazon EC2 Trn2 Instances
Supported
Amazon Web Services (AWS)
Supported
ElectroNeek
Not Supported
Model Context Protocol (MCP)
Not Supported
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Integrations
AWS Marketplace
Not Supported
AWS Neuron
Not Supported
Amazon EC2 G5 Instances
Not Supported
Amazon EC2 Inf1 Instances
Not Supported
Amazon EC2 P4 Instances
Not Supported
Amazon EC2 Trn1 Instances
Not Supported
Amazon EC2 Trn2 Instances
Not Supported
Amazon Web Services (AWS)
Not Supported
ElectroNeek
Supported
Model Context Protocol (MCP)
Supported
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