The new HPE Apollo 6500 Gen10 is a groundbreaking server designed to tackle the most compute-intensive HPC and deep learning workloads. With superior speed, density, and performance, HPE is reinventing what it means to compute. A major transformation is happening now, as technological advancements and escalating volumes of diverse data drive change across all industries. Cutting-edge innovations are fueling digital transformation on a global scale, and organizations are leveraging faster, more powerful machines to operate more intelligently and effectively than ever. Today, HPE announced the new HPE Apollo 6500 Gen10 server, a groundbreaking platform designed to tackle the most compute-intensive high performance computing (HPC) and deep learning workloads.

Yet many of the applications we've seen are single-event driven. Some examples: Is the image shown that of a cat? Given a word, translate it into English. Execute a given command, such as "Turn on the Light." Deep learning techniques have been responsible for many AI applications like these, but fundamentally, deep learning is task-oriented.

The field of artificial intelligence has grown by leaps and bounds in recent years, already providing new capabilities that we see used in real life. Smart phones can recognize our faces to identify us as their proper owners. We can now translate street signs in a different language using an app. And we are starting to have computers that can respond to voice commands. The future seems bright, with talk of autonomous vehicles, robots, and advances in many different fields--from medical diagnostics to automated factories.

Using H2O Driverless AI with HPE servers and BlueData software can help businesses deploy AI solutions quickly and productively. Artificial intelligence is already an indispensable technology for many businesses. Yet some enterprise organizations are struggling to keep pace with the competitive rush to harness AI and use it with their proprietary data to build predictive models. AI expertise is difficult to come by. And businesses often lack the experience needed to develop AI solutions from the ground up, and then deploy them at scale to deliver business impact.

Ready for AI? Discover our purpose-built integrated hardware and software solution based on Apollo 6500 Gen10 systems with Bright Cluster Manager for Data Science. You've decided that AI is the future, and you want to embrace it to stay ahead of your competition. You've got plenty of data to analyze and a team of data scientists ready to go, but they require an environment in which to ply their craft. You need hardware and software that work well together, and a way to quickly adapt to the environment and keep up with the rapidly evolving world of machine learning, deep learning and AI. That's why HPE and Bright Computing have joined forces to bring you a purpose-built, integrated hardware and software solution you can put to work in no time.

Pure Storage and Nvidia have produced a converged machine-learning system to train AI models using millions of data points. It's called AIRI – AI-Ready Infrastructure – and combines a Pure FlashBlade all-flash array with four Nvidia DGX-1 GPU-accelerated boxes and a pair of 100GbitE switches from Arista. The system has been designed by Pure and Nvidia, and is said to be easier and simpler to buy, deploy, and operate than buying and integrating the components separately; the standard converged infrastructure pitch. AIRI's rack is meant to be an object of desire in your data centre. FlashBlade is Pure Storage's all-solid-state-storage array for fast access to unstructured data.

IBM and Hewlett Packard Enterprise this week introduced new servers optimized for artificial intelligence, and the two had one thing in common: Nvidia technology. HPE this week announced Gen10 of its HPE Apollo 6500 platform, running Intel Skylake processors and up to eight Pascal or Volta Nvidia GPUs connected by NVLink, Nvidia's high-speed interconnect. A fully loaded V100s server will get you 66 peak double-precision teraflops of performance, which HPE says is three times the performance of the previous generation. The Apollo 6500 Gen10 platform is aimed at deep-learning workloads and traditional HPC use cases. The NVLink technology is up to 10 times faster than PCI Express Gen 3 interconnects. For its part, IBM held its OpenPOWER Summit in Las Vegas this past week and announced that more than 325 member companies are working on products and services for A.I.-themed workloads in the enterprise.

Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. AI has impacted a variety of industries already, but nowhere are developments in artificial intelligence more important than in the healthcare industry--they can be life-saving. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the healthcare industry. Recent advancements in AI technology have made it hard to ignore its potential to make health care professionals lives easier, as well as advance medicine. Just imagine the amount of data that health professionals have to review manually before they diagnose or treat a patient.

The era of the one-size-fits-all supercomputer is over. Hewlett-Packard Enterprise (HPE), the market leader in this space, is now producing high performance computing systems for specific needs. The shift is being driven, in part, by the increasing desire for systems that can process data efficiently. HPE on Monday announced a series of new systems targeted at specific processes such as "deep learning." This is a branch of machine learning used, in particular, to analyze images and sound.

With machine learning taking off among hyperscalers and others who have massive amounts of data to chew on to better serve their customers and traditional simulation and modeling applications scaling better across multiple GPUs, all server makers are in an arm's race to see how many GPUs they can cram into their servers to make bigger chunks of compute available to applications. As the GPU Technical Conference hosted by Nvidia is kicking off in San Jose, Hewlett-Packard Enterprise, which is the dominant peddler of servers in the world with Dell nipping at its heels and a slew of others who aspire to be number three, rolled out a new dense hybrid system that can pack twice as many GPU accelerators in a chassis as its predecessor as well as some companion Lustre appliances that will also be able to run object storage from a number of vendors as well. The Apollo 6500 hybrid servers are the follow-ons to the ProLiant SL6000 "scalable systems" product line that originally debuted back in June 2009 to compete against Dell's custom machines that are sold by its Data Center Solutions (DCS) division. The SL6500s, which were dense machines designed explicitly to have lots of GPU accelerators hanging off Xeon CPUs, rolled out shortly after that and were updated last in November 2012. With the SL270s Gen8 node that HPE offered at the time, its densest compute element, a 4U SL6500 enclosure could have two half-width server sleds, each with two Xeon E5 processors and up to eight single-wide Tesla M2070Q, M2075, M2090, or K10 GPU coprocessor cards rated at no more than 225 watts each.