Machine Learning
Data scientists in both industry and academia have been using GPUs for machine learning to make groundbreaking improvements across a variety of applications including image classification, video analytics, speech recognition and natural language processing. In particular, Deep Learning – the use of sophisticated, multi-level “deep” neural networks to create systems that can perform feature detection from massive amounts of unlabeled training data – is an area that has been seeing significant investment and research.
Although machine learning has been around for decades, two relatively recent trends have sparked widespread use of machine learning: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPU computing. GPUs are used to train these deep neural networks using far larger training sets, in an order of magnitude less time, using far less datacenter infrastructure. GPUs are also being used to run these trained machine learning models to do classification and prediction in the cloud, supporting far more data volume and throughput with less power and infrastructure.
Early adopters of GPU accelerators for machine learning include many of the largest web and social media companies, along with top tier research institutions in data science and machine learning. With thousands of computational cores and 10-100x application throughput compared to CPUs alone, GPUs have become the processor of choice for processing big data for data scientists.
Benchmark for Machine Learning Application
"With GPUs, pre-recorded speech or multimedia content can be transcribed much more quickly. Compared to CPU implementation we are able to perform recognition up to 33x faster."
NVIDIA DiGiTS DevBox
Accelerate your results with the NVIDIA DiGiTS DevBox – the world’s fastest deskside deep learning system. DiGiTS DevBox offers the freedom to explore multiple network architectures, and accelerated dataset manipulation—all in one powerful, energy-efficient, cool, and quiet solution that fits under your desk. Register for the DiGiTS DevBox early access program or learn how to create your own system.
Learn how other data scientists are advancing their work in the field of machine learning, and get information about tools, software frameworks, and computing configurations that will help you get started.
- Machine learning tools
- Technical talks
- Technical papers
- Recent articles
- Companies Using GPUs for machine learning
- Recommended system configurations
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See more big data talks on GTC On-Demand. |
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Configuration Options
For information on how to purchase GPU accelerators, visit the Where to Buy Tesla page
