IBM is over a century old, a massive multinational even before the dawn of the computer age. Through research and innovation, IBM came to dominate the nascent market for mainframe computers, parlaying ...
If it hums like it's supposed to, IBM said, Sequoia's 20 petaflops-per-second speed would make it 10 times faster than any other existing supercomputer. Sweet system? They think so. Here's a quick ...
To somewhat work around these limitations, IBM has now pitched the idea of a hybrid quantum-classical computer (marketed as ‘quantum-centric supercomputing’), which as the name suggests ...
has sliced and diced its most current data to show trends toward X-86 chips in high-performing systems and away from HP&'s PA-RISC. The top-ranked supercomputer in the world continues to be IBM&'s ...
The IBM mainframe is the longest running computer family in history. Although current IBM mainframes are vastly superior in technology to the System/360, they are highly compatible with it.
A major milestone in quantum computing has been achieved after researchers at the University of Oxford built a scalable ...
The supercomputer will leverage IBM Storage Scale System, which is combined with NVMe flash technology to deliver high-performance storage for AI, data analytics, and other demanding workloads.
AllThingsD's Arik Hesseldahl and Steve Baker, author of "Final Jeopardy: Man vs. Machine", join digits to discuss Watson's performance on Jeopardy and the future of the supercomputer.
But IBM's aspirations for its artificially intelligent supercomputer are now less quiz ... Watson is as good at medical questions as the current Watson is at game show questions, it will be ...
The supercomputer will leverage IBM Storage Scale System, which is combined with NVMe flash technology to deliver high-performance storage for AI, data analytics, and other demanding workloads.
The supercomputer will leverage IBM Storage Scale System, which is combined with NVMe flash technology to deliver high-performance storage for AI, data analytics, and other demanding workloads. As ...