Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia unveiled its Grace processor today. It’s an ARM-based central ...

NVIDIA has just announced its first-ever CPU with the introduction of Grace, a new ARM-based processor designed for AI and servers -- and not for your gaming PC. The new NVIDIA Grace processor has ...

In today’s data center environment, resilience is key. Cloud providers are built on as-a-service business models, where uptime is critical to ensure their customers’ business continuity. Reputation ...

Princeton's new computer chip is called Piton, and it's a many-core open-source research processor aimed at revolutionizing data-center and enterprise-grade cloud-based solutions that power the ...

During its GTC 2021 keynote today, NVIDIA unveiled a new product for high performance computing (HPC) clients, its first-ever data center CPU called Grace. Based on Arm's architecture, NVIDIA claims ...

Annealing processors are designed specifically for addressing combinatorial optimization problems, where the task is to find the best solution from a finite set of possibilities. This holds ...

Rob founded Techgage in 2005 to be an 'Advocate of the consumer', focusing on fair reviews and keeping people apprised of news in the tech world. Catering to both enthusiasts and businesses alike; ...

Even for someone who pays a lot of attention to them, processor model numbers can be hard to parse. Ideally, each model number would communicate information about the chip’s underlying technology and ...

Normally, simulations for scientific research are performed on supercomputers as they require tremendous compute throughput. There are also types of research — such as simulation of quantum behavior ...

A quantum computer with a processor made entirely out of laser lights offers “extreme scalability,” its creators claim. The prototype design, 10 years in the making, could offer a more promising ...

Annealing processors are crucial for solving combinatorial optimization problems. However, they face scalability challenges due to the complexity of required architecture. TUS researchers have now ...