Quantum computing is finally heating up. There is a heady mix of high-profile and highly resourced big tech players like Google, Microsoft, Amazon Web Services, and Nvidia either building QPUs, simulating them, or integrating them with classical supercomputers in addition to well-funded younger companies and startups, such as QuEra, IonQ, Quantum Computing, Quantinuum, D-Wave, and Alice & Bob. …
Over the past decade, it has been interesting to watch companies push the rock that is quantum computing up the steep hill. …
Nvidia co-founder and chief executive officer Jensen Huang paced the stage at the company’s GTC Washington DC event dressed in his standard black leather jacket over a black T-shirt, with black pants and black sneakers, but the messages he delivered during his keynote was decidedly red, white, and blue. …
Hewlett Packard Enterprise PE has a long history in supercomputing, with efforts like its Apollo family of systems aimed at data-intensive workloads like HPC, data analytics, and storage, and its $275 million acquisition in 2016 of SGI to help expand its presence in HPC. …
For years, Oracle has found itself solidly in the second tier of cloud providers, well behind the top three of Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which combined account for more than 60 percent of global cloud infrastructure services market. …
“Platformization” eventually comes to every high-profile IT space as the number of tools and amount of complexity increases. …
There is constant chatter surrounding the promise of generative AI, agentic AI, and – eventually – artificial general intelligence, but the need for the massive, expensive, high-density compute and the datacenters to wrap around them and the juice to feed them are incredible, particularly with models OpenAI GPT-4, Alibaba’s Qwen-3, Moonshot AI’s Kimi K2, xAI’s Grok4, and Amazon’s Olympus all cresting the trillion-parameter mark and aiming higher. …
As adoption of generative AI, agentic AI, and all other AIs expands around the globe, a focus in the industry can enable nations to more closely use its own infrastructure, workforces, and data to control, create, and deploy AI models. …
Once a hyperscaler or a cloud builder gets big enough, it can afford to design custom compute engines that more precisely match its needs. …
For the Linux Foundation, this summer in part has been spent pulling in new projects aimed at building an open architecture around the quickly emerging world of agentic AI, the latest rage in the ever-expanding generative AI universe. …
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