Minerva - a fast and flexible tool for deep learning on multi-GPU
A fast and flexible deep learning system with NumPy-like NDarray interface and easy multi-GPU support.
What is Minerva - a fast and flexible tool for deep learning on multi-GPU?
Minerva is a fast and flexible deep learning system that provides an NDarray programming interface similar to NumPy. It allows developers to write code that can run on CPU or GPU with easy multi-GPU support, addressing the need for high-performance machine learning computations without sacrificing usability.
Machine learning researchers and engineers who need efficient multi-GPU deep learning training with a familiar NumPy-like interface.
Developers choose Minerva for its combination of NumPy-like simplicity, automatic parallel execution, and straightforward multi-GPU support, making it easier to scale deep learning workloads without complex configuration.
Overview
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
Use Cases
Best For
- Training deep neural networks with multi-GPU acceleration
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