ThunderSVM
A fast Support Vector Machine (SVM) library that leverages GPUs and multi-core CPUs for high-performance machine learning.
What is ThunderSVM?
ThunderSVM is a fast, open-source library for training and deploying Support Vector Machine (SVM) models. It accelerates SVM computations by leveraging the parallel processing capabilities of GPUs and multi-core CPUs, solving the performance limitations that often make SVMs impractical for large-scale datasets.
Data scientists, machine learning engineers, and researchers who need to train SVM models on large datasets and require significant speed improvements over traditional CPU-based libraries like LibSVM.
Developers choose ThunderSVM for its substantial performance gains—often orders of magnitude faster—while maintaining full compatibility with the widely-used LibSVM API, ensuring a smooth transition and minimal code changes.
Overview
ThunderSVM: A Fast SVM Library on GPUs and CPUs
Use Cases
Best For
- Training SVM models on large datasets where LibSVM is too slow
- Accelerating hyperparameter tuning for SVMs using GPU parallelism
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