Loading...
You are here:  Home  >  Education Resources For Use & Management of Data  >  Data Daily | Data News  >  Current Article

NVIDIA Tesla Accelerators Demonstrate Advanced Performance for Training Deep Learning Models

By   /  May 12, 2017  /  No Comments

by Angela Guess

A recent press release reports, “IBM announced that benchmarks conducted by IBM engineers found that the NVIDIA® Tesla® P100 GPU accelerators on the IBM Cloud can provide up to 2.8 times more performance than the previous generation NVIDIA® Tesla® K80 for certain test cases. A second benchmark conducted by Rescale also found significant performance gains for the NVIDIA Tesla P100 GPU on IBM Cloud. This reduces the corresponding training time required for deep learning models and helps enable organizations to quickly create advanced artificial intelligence (AI) applications on the cloud.Demand for AI applications is growing rapidly. According to Research and Markets, the AI market is expected to be worth 16.06 billion dollars by 2022. Deep learning techniques are a key driver behind the increased demand for and sophistication of AI applications. However, training a deep learning model to do a specific task is a compute-heavy process that can be time and cost-intensive.”

The release goes on, “The availability of the NVIDIA Tesla P100 GPUs on the IBM Cloud is making it faster and more cost-effective to leverage deep learning techniques to train AI systems. According to a recent performance benchmark conducted by IBM, certain deep learning workloads running on the IBM Cloud with the NVIDIA Tesla P100 GPUs outperform the previous-generation NVIDIA Tesla K80 GPUs by a factor of 2.8 times. The combination of NVIDIA Tesla P100 GPUs on the IBM Cloud reduced the corresponding training time for a deep learning image classification model by 65 percent from the NVIDIA Tesla K80 GPUs.”

Read more at PR Newswire.

Photo credit: IBM

You might also like...

Citizen Data Scientists? Yay or Nay?

Read More →