Algolia Recommend vs Amazon Elastic Inference
Overview
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Detailed Comparison
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. | It is a robust & flexible API to build unique product recommendations into any digital ecommerce experience. Developers can use a simple and flexible API to build machine learning powered recommendations on your company’s digital storefronts using as few as 6 lines of code, driving better conversions and increasing average order value. It comes with advanced flexibility so you can completely customize the recommendations displayed on your online stores. |
| - | Filter, merchandise, rank and contextualize recommendations to fit your brand and unique business goals; Advanced front-end libraries, API clients, and extensive documentation to help developers build, deploy, and maintain with ease;
Using Algolia Search + Recommend, leverage the same product catalog, merchandising logic, and analytics across search, navigation and recommendations;
Full control, insights for everyone on your team |
Statistics | |
Stacks 45 | Stacks 2 |
Followers 56 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |
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