The Benefits of Bringing Artificial Intelligence to High Performance Computing

2. Discover more insights and take actions faster

Choosing where to apply deep learning can vary from enterprise to enterprise. A simple way to start is to identify the value drivers for the business, also known as “following the money.” For consumer-facing businesses, sales and marketing are likely to be the main drivers. Using deep learning to make personalized promotions and improve customer service is a good place to start.

For industries such as manufacturing and oil and gas, where operational excellence creates value, deep learning is well suited for optimizing supply chains, automating inspection and doing predictive maintenance. Take the example of Baker Hughes, a GE company. BHGE has partnered with NVIDIA to use AI to help distill data in real time and reduce the cost of finding, extracting, processing and transporting oil. Oil-well operators can analyze massive amounts of production and sensor data, such as flow rates and pump pressures, with the help of AI. This gives oil and gas companies better insight into costly issues, such as predicting which machinery might fail and how these failures could affect larger systems.

3. Bring new products and solutions to market faster

Today, customer interactions with products or services happen across multiple platforms like smartphones, digital assistants and social media. All of these touch points provide a ton of real-time data to enterprises. There is opportunity to combine all this customer data and use the capabilities of supercomputing centers to transform research into improvements of everyday products.

For example, Procter and Gamble reached out in 2014 to Oak Ridge National Laboratory to simulate microscopic processes to improve product performance and quality. Fast forward to 2018, and the Summit supercomputer at Oak Ridge will have NVIDIA Tesla V100 Tensor Core GPUs that can be used both for science and deep learning. Under the ACCEL programACCEL program, enterprises will be able to use deep learning and science to bring new products to market faster. Whether it is improving the efficiency of wind turbines or discovering polymers to improve battery life, there are many opportunities to convert leading-edge research into new products and services that address everyday needs.

The Future of AI and HPC

The future of AI and HPC holds incredible promise. It is the next industrial revolution. With the first industrial revolution, new inventions came about that couldn’t have been conceived of previously. Similarly, AI and HPC will result in new discoveries that we haven’t yet dreamed of.

AI is going to transform HPC in every industry — from pharmaceuticals, manufacturing, and energy exploration to climate-weather forecasting, materials science and more. Today’s visionary CIOs are taking advantage of this industrial revolution underfoot, transforming their businesses with the latest technology available. These trailblazers will deliver incredible benefits to business and improve society in ways we had once not thought possible.