Build Better AI Models Faster
This solution brief highlights our technology, emphasizing its capability to boost business innovation at unparalleled supercomputing speeds. The solution paves the way for previously unimagined opportunities and a competitive edge in the market.
What is the HPE Machine Learning Development Environment?
The HPE Machine Learning Development Environment is a comprehensive platform designed to simplify and accelerate the development of machine learning models. It removes the complexity and cost associated with model development, allowing ML engineers and data scientists to focus on innovation. Built on the open-source Determined Training Platform, it enables faster training of models, advanced hyperparameter tuning, and efficient management of GPU resources.
How does the platform improve training times?
The platform allows ML engineers to train models significantly faster—reducing training times from days to hours or even minutes. It supports state-of-the-art distributed training without requiring changes to the model code. For example, one user reported reducing the training time for a key computer vision model from 3 days to just 3 hours.
What features support collaboration and resource management?
The environment includes advanced experiment tracking that automatically saves model code, hyperparameters, and configuration settings, making it easier for teams to reproduce results. Additionally, it features built-in resource management tools that improve cluster utilization, allowing team members to submit jobs using Kubernetes or HPE’s priority scheduler, which is tailored for ML workloads.
Build Better AI Models Faster
published by Hewlett Packard Enterprise
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