Infrastructure

NVIDIA Tesla P100 GPU: Be prepared for the AI revolution

Share this post:

NVIDIA MapD BitfusionWe know you’ve been wanting faster and easier access to GPU computing for AI in the cloud, so today we are excited to be the first major cloud provider to globally offer the NVIDIA Tesla P100 GPU card currently being revved up in our data centers and will be available in the forthcoming weeks.

NVIDIA and IBM have been partnering since 2014 to bring you the latest GPU technology in the cloud including being first to market in 2015 with the NVIDIA Tesla K80 and the Tesla M60 in 2016.

And now our customers can experience even more power to take on their AI and deep learning workloads with the P100s.

The landscape is changing and IBM Cloud and NVIDIA are at the forefront of the revolution.

Where supercomputing was once only something afforded by large corporations, by adding NVIDIA GPUs into the cloud, we are making it easily accessible to all.

We’re seeing deep learning and AI transition from traditionally research oriented computation to workloads dealing with infinite computing needs. The advantages of running high performance computing (HPC) in the cloud with NVIDIA GPUs, span industries and today offers financial services, healthcare, and scientific research the ability to perform better and calculate and analyze data faster. In fact, GPUs are now crossing over into business situations to attack business oriented problems, which essentially helps customers of any size or type answer their most complex big data challenges.

Recently, IBM Cloud, together with MapD and Bitfusion, were able to scale up to 64 Tesla K80 GPUs across 32 servers to filter, query and aggregate a 40-billion-row data set in just 271 milliseconds. That’s a mind-blowing 147 billion rows per SECOND. Imagine the possibilities with the new P100.

Watch how Bitfusion incorporated its software developed to manage deep learning and GPUs to help our customer MapD add GPUs to their cloud environment to accelerate their data analytics.

When you provision your bare metal server with two NVIDIA Tesla P100 GPU cards, you can see 50 times the performance than its predecessor, the Tesla K80. The addition of the accelerator can deliver up to 65 percent more machine learning capabilities giving you higher throughput than traditional virtualized servers.

For those ready to start trying out GPUs in a cloud environment, we currently offer NVIDIA Tesla M60 and K80, designed for high performance acceleration of scientific computation and data analytics. The Tesla M60 (with NVIDIA GRID software) along with the GRID K2, are engineered for professional grade virtualized graphics—all available on various pre-configured bare metal servers with hourly and monthly options.

Check out the configurations and the infographic.

A version of this article originally appeared on the IBM Bluemix blog.

More Infrastructure stories

IBM unveils major expansion of cloud capabilities and global availability zones

What does it take to be the cloud for enterprise? How can IBM Cloud better empower clients to digitally transform their businesses? These are the questions we set out to answer at IBM every day. Knowing what it means to be the cloud for enterprise doesn’t require an army of market researchers and focus groups. […]

Continue reading

Working with IBM, OSRAM embarks on a multicloud strategy to enable transformation

OSRAM is reinventing light. In 2016, the company, whose history dates back more than 100 years, divested its LED and traditional lamp business to focus on the digital future of light. Be it with laser light for automobiles, increased security thanks to iris recognition or intelligently connected lighting, OSRAM is transforming light into more than […]

Continue reading

3 best practices for digital transformation

We are living in a rapidly evolving digital era, which is underpinned by proliferating technologies based in cloud computing: artificial intelligence, blockchain, and Internet of Things (IoT). Consumers demand real-time, secure, intuitive, and web- or mobile-based digital services. This evolution will accelerate as 5G cellular service becomes widely available within a few years. To be […]

Continue reading