Your Own Supercomputer — in the Azure Cloud

Your organization relies on technology for a competitive advantage. You need fast, reliable performance. But high-performance computing can be a big investment, and challenging to manage as part of your IT infrastructure. Cray and Microsoft make it easy — and you get Cray supercomputing in the Microsoft Azure cloud. This convergence of supercomputing capabilities and the ease of cloud management enables disruptive innovation for new categories of companies. It alleviates the management burden and reduces barriers of entry to HPC. Supercomputing is no longer out of reach for smaller enterprises and organizations that can’t or don’t want to maintain their own datacenters. Get details about Cray in the cloud in this white paper by ... [ Read More ]

Why We Changed Our Approach to Artificial Intelligence

Like you, we’re working on how to approach artificial intelligence (AI). We all know it’s here, it’s growing and it’s not a passing trend. We could debate all day over how fast and far the use of AI will spread. But let’s set that discussion aside and focus on what we’re actually seeing when we’re out talking to customers and prospects — and then what we’re doing with that information. What we’re seeing isn’t entirely what we anticipated when we announced our Cray Accel AI fast start solutions last November. At that point, we knew we had customers whose AI plans ranged from “just starting out” with machine learning (ML) and deep learning (DL) to those running production-level AI applications with concerns about future growth. ... [ Read More ]

Programming Artificial Intelligence with Chapel & Deep 6 AI

I recently wrote about the conversation our own Brad Chamberlain — project lead for our Chapel effort — had with Brian Dolan, chief scientist and co-founder of an artificial intelligence startup, Deep 6 AI, to understand their interest in the Chapel parallel programming language. What got Brian and Brad talking was Brian’s interest in and use of Chapel for some experimental work in AI. In this second post, I want to share some of Brian’s insights on the value of Chapel as a language for AI. Deep 6 AI is an artificial intelligence company whose primary mission is to find more patients faster for clinical trials — an important part of drug development and drug discovery. In 2016, Deep 6 AI was chosen by the Cedars-Sinai ... [ Read More ]

Scalable Deep Learning with BigDL on the Urika-XC Software Suite

Deep-learning-based AI approaches have resulted in remarkable advancements in diverse fields such as computer vision, speech recognition, natural language processing and bioinformatics. As part of our continuing efforts to offer customers a single system that can host both simulations and advanced data analytics, we recently launched the Cray® Urika®-XC analytics software suite, bringing graph analytics, deep learning and robust big data analytics tools to the company’s flagship line of Cray® XC™ supercomputers. An important piece of the Urika-XC suite is the BigDL deep learning framework. BigDL is a distributed deep learning library for Apache Spark™ developed inside Intel and contributed back to the open source community. ... [ Read More ]

Artificial Intelligence: Five Trends for 2018

As we start 2018 here at Cray, we believe artificial intelligence and, more specifically, deep learning will continue to dominate the emerging technology landscape conversation (and I know that some might argue block chain technologies have already surpassed AI, but that’s another conversation). Since we have several subject matter experts at Cray, I thought it might be a good idea to reach out to the Cray AI team and ask them, “What is a trend for AI or deep learning you expect in 2018?” Rangan Sukumar, analytic architect in our CTO office: • Mathematical/algorithmic innovations will dictate hardware/system requirements: Algorithmic cleverness, mathematical approximations and sub-precision tweaks have enabled a 7-10x speed-up, mostly ... [ Read More ]