IBM has announced that it is the first major global cloud provider to make the NVIDIA® Tesla® P100 GPU accelerator available on the cloud. By combining NVIDIA’s acceleration technology with IBM’s Cloud platform, businesses can expect to more quickly and efficiently run compute-heavy workloads, such as artificial intelligence, deep learning and high performance data analytics.
With more than 160 zettabytes of data expected to be generated by 2025 according to IDC, enterprises of all sizes are increasingly relying on cognitive and deep learning applications to make sense of these massive volumes and varieties of data. GPUs, or graphics processing units, work in conjunction with a server’s central processing unit (CPU) to accelerate application performance helping these compute-heavy data workloads run more quickly and efficiently.
Since 2014, IBM has been working closely with NVIDIA to bring the latest GPU technology to the cloud. IBM was the first cloud provider to introduce the NVIDIA Tesla K80 GPU accelerator in 2015 and the Tesla M60 in 2016, and the introduction of the Tesla P100 builds on IBM’s leadership in bringing the latest NVIDIA GPU technology to the cloud for machine learning, AI and High Performance Computing (HPC) workloads.
“Deep learning and AI was once reserved for a select few companies such as research organizations and universities,” said Subbu Rama, founder and CEO, Bitfusion. “By collaborating with IBM to use NVIDIA GPUs on the cloud, BitFusion is changing that dynamic, enabling data scientists and developers to jumpstart innovation.”
As the first global cloud provider to enable the use of the Tesla P100 GPU accelerator on the cloud, IBM will make it more accessible for businesses in industries including healthcare, financial services, energy and manufacturing to extract valuable insight from big data. For example, clients in the financial services industry can use GPUs on the IBM Cloud to quickly run complex risk calculations; healthcare companies can more quickly analyze data or identify possible genetic variations; and energy companies can identify new ways to improve operations.
“The latest NVIDIA GPU technology delivered on the IBM Cloud is opening the door for enterprises of all sizes to use cognitive and AI to address complex big data challenges,” said John Considine, general manager, Cloud Infrastructure, IBM. “IBM’s global network of cloud data centers along with its advanced cognitive and GPU capabilities is helping to accelerate the pace of client innovation.”
Read the full press release at IBM-US.