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Lenovo at ISC: ‘Exascale to Every Scale’

For at least four years, Lenovo has been vocal about its high ambitions in high performance computing, and by all appearances the company is progressing toward its objectives. This is the eighth year since China-based Lenovo purchased IBM’s Intel x86-based server business, an acquisition that marked the company’s entrance into HPC, and despite some U.S. […]

Atos Comes into ISC off Strong Year in HPC

Atos, with its BullSequana line of supercomputers, will no doubt be a prominent player at this year’s ISC conference. While ISC is an international HPC event, it has, after all, a strong European flavor – even if this year’s edition isn’t in Frankfurt but instead is virtual (for the last time, we hope). Atos has […]

HPE at ISC: ‘Perform Like a Supercomputer, Run Like a Cloud’

Since we last saw HPE at ISC a year ago, the company embarked on a strong run of success in HPC and supercomputing – successes the company will no doubt be happy to discuss at virtual ISC 2021. This being the year of exascale, HPE is likely to put toward the top of its list […]

XTREME-D Launches First Server Product, AXXE-L One

Tokyo — June 24, 2021 – Award-winning Platform as a Service Provider XTREME-D Inc. today announced the launch of AXXE-L One, the company’s first server product. The appliance comes with AXXE-L by XTREME-D pre-installed, providing the key components required to run HPC / AI workloads out-of-the-box. AXXE-L by XTREME-D is HPC System Software as a […]

SiPearl Opens Site in Barcelona

Maisons-Laffitte,France and Barcelona, June 22, 2021 – SiPearl, the company that is designing the high-performance, low power microprocessor for the European exascale supercomputer, is opening its Barcelona office as the second operational subsidiary outside of France. This opening comes one year after opening its office in Duisburg, Germany. At the heart of this ecosystem, SiPearl […]

The US-China Supercomputing Race, Post-Exascale HPC Government Policy and the ‘Partitioning of the Internet’

All over the world, HPC has burst into geopolitics. HPC – broadly defined here as advanced supercomputing combined with big AI – is at the fault lines of national and regional rivalries, particularly between the U.S. and China, expanding in power, cost, intensity and in potential impact. Which is to say that global players put […]

IBM Doubles Down on 1000+-Qubit Quantum in 2023

As expectation-setting goes in the technology industry, this is bold. At IBM’s annual Think conference, a senior systems executive reiterated the company’s intent to deliver a 1,121-qubit IBM Quantum Condor processor by 2023. In a video interview with theCUBE, technology publication SiliconANGLE Media’s livestreaming studio, IBM GM of systems strategy and development for enterprise security, […]

AI Demand Pushes against Skills Shortage, Lack of IT Infrastructure – IBM

As with other areas of the economy (chips, workforce), demand isn’t the problem in the AI market, it’s supply: supply of knowledge and skills, and supply of technology. IBM this morning released the results of its Global AI Adoption Index 2021 study, which the company said shows that business adoption of AI slowed over the […]

2 Seconds of Hair Growth: IBM Claims 1st 2 Nanometer Chip Technology

IBM today unveiled what it said is the first chip with 2 nanometer (nm) nanosheet technology. Though still more than two years away from going into production, the company said the 2nm chip will be used to power devices ranging from cell phones to HPC-class data center servers and will deliver nearly 50 percent higher […]

Rice Univ. Researchers Claim 15x AI Model Training Speed-up Using CPUs

Reports are circulating in AI circles that researchers from Rice University claim a breakthrough in AI model training acceleration – without using accelerators. Running AI software on commodity x86 CPUs, the Rice computer science team say  neural networks can be trained 15x faster than platforms utilizing GPUs. If valid, the new approach would be a double boon for organizations implementing AI strategies: faster model training using less costly microprocessors.