IBM claims that its new Snap Machine learning library is 46x faster than TensorFlow.
IBM’s Snap Machine Learning (Snap ML) is an efficient, scalable machine-learning library that enables very fast training of generalized linear models.
IBM demonstrated that this new library can eliminate the training time as a bottleneck for machine-learning workloads, paving the way to a range of new applications. Much recently, the Snap ML library set a new benchmark by outperforming training time for ML models 46 times faster than TensorFlow.
By using the online advertising dataset released by Criteo Labs, which includes more than 4 billion training examples, IBM trained a logistic regression classifier in 91.5 seconds. Prior to this, the best result for training the same model was bagged by TensorFlow, which trained the same model in 70 minutes on Google Cloud Platform.
Snap ML library,
Let’s take a look at the three distinct features of Snap ML library:
Read more about this exciting news in detail on IBM Research.
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