Lamina vs Amazon Elastic Inference | What are the differences? | StackShare

Amazon Elastic Inference vs Lamina

Overview

Lamina

Stacks6

Followers18

Votes0

Amazon Elastic Inference

Stacks45

Followers56

Votes0

Amazon Elastic Inference vs Lamina: What are the differences?

Developers describe Amazon Elastic Inference as "GPU-Powered Deep Learning Inference Acceleration". Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon. On the other hand, Lamina is detailed as "Artificial Intelligence as an API 🤖". Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.

Amazon Elastic Inference and Lamina can be categorized as "Machine Learning as a Service" tools.

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Detailed Comparison

Lamina	Amazon Elastic Inference
Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.	Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
Statistics
Stacks 6	Stacks 45
Followers 18	Followers 56
Votes 0	Votes 0
Integrations
No integrations available	TensorFlow Amazon EC2 Amazon SageMaker

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Amazon SageMaker

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