Amazon Web Services is introducing Amazon Q, an AI chatbot geared toward enterprise clients who can customize it to increase productivity for their specific business needs. AWS also announced that it has updated its homegrown Graviton4 chips for a 30 percent performance boost. AWS confirmed it will be the first Big Tech firm to deploy the latest version of Nvidia’s Grace Hopper Superchip AI accelerator, and additionally will become a data center host for Nvidia’s DGX Cloud service. The announcements were disclosed at the AWS re:Invent conference in Las Vegas. Continue reading Amazon Unveils Productivity Chatbot, Gets Nvidia Superchip

Not content with dominating what is currently the hottest processor market in the world — chipsets for artificial intelligence — and leading among GPU suppliers, Nvidia is branching into CPUs. The 30-year-old company, whose market cap passed the $1 trillion mark in May, is said to be “quietly” developing chips to run Microsoft’s Windows OS, tapping into a global market that hovers at about 300 million PC sales per year, 70 percent of which use Windows, according to Statista. Nvidia is reportedly pursuing its plan via a licensing deal with Arm, whose tech powers 200 billion mobile processors shipped each year. Continue reading Nvidia to Pursue Mobile and PC Markets with Arm Processors

Cerebras Systems has unveiled the Condor Galaxy 1, powered by nine networked supercomputers designed for a total of 4 exaflops of AI compute via 54 million cores. Cerebras says the CG-1 greatly accelerates AI model training, completing its first run on a large language AI trained for Abu Dhabi-based G42 in only 10 days. Cerebras and G42 have partnered to offer the Santa Clara, California-based CG-1 as a cloud service, positioning it as an alternative to Nvidia’s DGX GH200 cloud supercomputer. The companies plan to release CG-2 and CG-3 in early 2024. Continue reading Cerebras, G42 Partner on a Supercomputer for Generative AI

Nvidia CEO Jensen Huang’s keynote at Computex Taipei marked the official launch of the company’s Grace Hopper Superchip, a breakthrough in accelerated processing, designed for giant-scale AI and high-performance computing applications. Huang also raised the curtain on Nvidia’s new supercomputer, the DGX GH200, which connects 256 Hopper chips into a single data-center-sized GPU with 144 terabytes of scalable shared memory to build massive AI models at the enterprise level. Google, Meta and Microsoft are among the first in line to gain access to the DGX GH200, positioned as “a blueprint for future hyperscale generative AI infrastructure.” Continue reading Nvidia Announces a Wide Range of AI Initiatives at Computex