This article contains content that is written like an advertisement. (April 2020)
|Developer(s)||Apache Software Foundation|
1.9.1 / 10 May 2022
|Operating system||Windows, macOS, Linux|
|Type||Library for machine learning and deep learning|
|License||Apache License 2.0|
MXNet can be distributed on dynamic cloud infrastructure using a distributed parameter server (based on research at Carnegie Mellon University, Baidu, and Google). With multiple GPUs or CPUs the framework approaches linear scale.
Supports an efficient deployment of a trained model to low-end devices for inference, such as mobile devices (using Amalgamation), Internet of things devices (using AWS Greengrass), serverless computing (using AWS Lambda) or containers. These low-end environments can have only weaker CPU or limited memory (RAM), and should be able to use the models that were trained on a higher-level environment (GPU based cluster, for example).
MXNet is supported by public cloud providers including Amazon Web Services (AWS) and Microsoft Azure. Amazon has chosen MXNet as its deep learning framework of choice at AWS. Currently, MXNet is supported by Intel, Baidu, Microsoft, Wolfram Research, and research institutions such as Carnegie Mellon, MIT, the University of Washington, and the Hong Kong University of Science and Technology.
- "Release 1.9.1". 10 May 2022. Retrieved 30 June 2022.
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