The company's Urika-GX system marries Cray's supercomputing technologies, like the Aries interconnect, with open enterprise tools like Hadoop.
Lenovo in July will roll out its Converged HX 2000 systems that will be integrated with Nutanix's new Xpress management software.
IBM Research is making quantum computing available to members of the public who can access and run experiments on the company's quantum processor. This endeavor has been about 35 years in the making, with perhaps another decade or more to go before IBM can deliver a universal quantum computer. According to IBM, quantum computing uses quantum physics, also called quantum mechanics, to perform new operations on data or operations outside the standard models of computation. “The power of the quantum computer is that it is based on a logic that is not limited merely to on-or-off, true-or-false scenarios,” reads a description of the technology on the IBM Research quantum computing site. “Quantum computing has bits, just like any computer. But instead of ones and zeros, quantum bits (or qubits) can represent a one, a zero or both at once—a phenomenon known as superposition. The superposition that occurs in a quantum system is so different from that which occurs in classical systems that it can allow two of these qubits to behave in ways that cannot be explained by the individual components.” This eWEEK slide show examines key features of IBM's quantum computing technology.
Facing growing competition from China and other countries, the U.S. must take steps to accelerate its HPC efforts, according to the ITIF.
Intel might be best known as a chipmaker, but chief executive Brian Krzanich has what might be a surprising vision for the company's future. In a blog posted on Intel's Website on April 26, Krzanich issued a strategy for what he believes will help Intel grow and prosper. While processor chips will still play a critical role in that effort, he added that Intel's success will ultimately depend on its ability to deliver systems for cloud computing, expand its role as a provider of Internet of things (IoT) components and be a major player as enterprises ultimately move to 5G wireless networks. Krzanich's vision is clear, but his strategy might seem unorthodox given his company's history. His strategy statement comes amidst increasing competition in mobile devices, cloud and IoT and days after the company disclosed that it would reduce its workforce by 11 percent to reduce business overhead. Simply put, Intel is changing rapidly. This slide show covers Intel's current business and the various goals it has to achieve to remain competitive. Read on to learn more about Intel and Krzanich's vision for the future.
The company is enabling customers to run the software stack on other vendors' Intel-based systems and will release similar versions of OS 2200 later.
Combining the Intel server chips with Altera's FPGAs will improve the performance-per-watt of systems running the two by 70 percent, officials say.
The new ProLiant appliance, which uses Zynstra's virtualization and management software, lets customers run workloads on-premises and in the cloud.
At the initial OpenPower Summit last year, the industry consortium innovating around the open-sourced Power processor architecture had fewer than 20 systems on display on the stage and about 130 members on the roster. At the second annual event last week, as officials with the OpenPower Foundation stood at the podium, there were more than three times the number of systems—from servers to network switches to development boards—displayed on a series of tables across the stage. IBM in late 2013 open sourced its Power processor architecture, hoping to expand the reach of the technology into a broader range of data center systems. Intel currently controls more than 95 percent of the data center chip space, but industry analysts say enterprises and service providers are looking for a second source of silicon to help drive competition, control pricing and offer protection against supply chain issues. Now with 200 members and more than 2,300 applications that run on Linux on OpenPower, the OpenPower Foundation is working to push ARM aside and become that second supplier. Calista Redmond, foundation president and director of OpenPower alliances at IBM, noted that a recent survey found that 88 percent of high-performance computing (HPC) organizations expect to use more than one silicon platform in their environments. "It's an important time for us to talk about multiple architectures," Redmond said during her address at the summit. This eWEEK slide show takes a look at some of the systems on display at the event.
Big Blue's cognitive computing platform will be better at analyzing everything from the emotion and tone of text to the personality of the writer.
SAN JOSE, Calif.—Nvidia for much of its two-plus decades of life made most of its money by manufacturing and selling GPUs for gaming systems. While the bulk of the company's revenues still come from its mainstream graphics technologies, Nvidia over the past several years has been aggressively pushing into new growth areas, particularly virtual reality (VR), connected cars, and deep learning and artificial intelligence (AI). That pivot into these emerging markets has been on full display here this week at the company's GPU Technology Conference (GTC), an event whose growth has mirrored the rise in importance of GPUs in such areas as accelerated computing and high-performance computing (HPC). In 2012, 2,350 people attended GTC; this year, more than 5,000 are here. And Nvidia hasn't disappointed. In his keynote address April 5, CEO Jen-Hsun Huang made announcements in all the new target areas, from technologies designed to make VR worlds more real to products aimed at accelerating innovation in deep learning. This eWEEK slide show hits on some of the highlights of the conference.
The alliance was only part of the news coming out of the OpenPower Summit that shows the growth of the open-source group since it launched in 2013.
The new offerings and resale plans are the latest moves by a major systems OEM in an increasingly competitive part of the data center market.
At the company's developer conference, Nvidia introduces a new Tesla GPU and computing module aimed at driving innovation in artificial intelligence.