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

Amazon Elastic Inference vs FloydHub

Overview

FloydHub

Stacks9

Followers18

Votes0

Amazon Elastic Inference

Stacks45

Followers56

Votes0

Amazon Elastic Inference vs FloydHub: 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, FloydHub is detailed as "Heroku for Deep Learning". Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.

Amazon Elastic Inference and FloydHub can be primarily classified as "Machine Learning as a Service" tools.

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Detailed Comparison

FloydHub	Amazon Elastic Inference
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.	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 9	Stacks 45
Followers 18	Followers 56
Votes 0	Votes 0
Integrations
No integrations available	TensorFlow Amazon EC2 Amazon SageMaker

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