NVIDIA announced that Facebook will accelerate its next-generation computing system with the NVIDIA Tesla Accelerated Computing Platform which will enable them to drive a broad range of machine learning applications.
Facebook is the first company to train deep neural networks on the new Tesla M40 GPUs – introduced last month – this will play a large role in their new open source “Big Sur” computing platform, Facebook AI Research’s (FAIR) purpose-built system designed specifically for neural network training.
Training the sophisticated deep neural networks that power applications such as speech translation and autonomous vehicles requires a massive amount of computing performance.
With GPUs accelerating the training times from weeks to hours, it’s not surprising that nearly every leading machine learning researcher and developer is turning to the Tesla Accelerated Computing Platform and the NVIDIA Deep Learning software development kit.
A recent article on WIRED explains how GPUs have proven to be remarkably adept at deep learning and how large web companies like Facebook, Google and Baidu are shifting their computationally intensive applications to GPUs.
The artificial intelligence is on and it’s powered by GPU-accelerated machine learning.
Read more on the NVIDIA blog >>
How GPUs are Revolutionizing Machine Learning
Dec 10, 2015
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AI-Generated Summary
- Facebook adopted the NVIDIA Tesla Accelerated Computing Platform to accelerate its next-generation computing system for machine learning applications.
- The company became the first to train deep neural networks on Tesla M40 GPUs, which power the open source Big Sur platform developed by Facebook AI Research.
- Big Sur delivers twice the speed of Facebook's previous system, enabling the training of twice as many neural networks for more accurate models and advanced applications.
- GPU acceleration reduces deep neural network training times from weeks to hours, driving widespread adoption of the NVIDIA Deep Learning software development kit among leading researchers and developers.
Next Steps
- Read the WIRED article on Facebook's Big Sur platform for details on GPU adoption in deep learning.
- Read more on the NVIDIA blog for additional information on the collaboration.
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