Interesting Engineering on MSN
Korea’s largest high-performance computing cluster to get US firm’s 100-qubit quantum system
The system will be integrated into KISTI-6 (“HANGANG”), the largest high-performance computing (HPC) cluster in Korea ...
SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the next data cycle, and Parallel Works, provider of the ACTIVATE control plane for AI and HPC resources, today unveiled a ...
Morning Overview on MSN
Inside xAI: Musk is scaling AI compute at a terrifying pace
Elon Musk is turning xAI into an industrial scale AI factory, racing to build what he claims will be the most powerful ...
TAIPEI (Reuters) -Taiwan’s Foxconn said its board of directors has approved an investment plan to procure equipment for a AI compute cluster and a supercomputing centre, that will allow it to spend up ...
FY25 capex projections show Amazon at ~$105B, Meta at ~$63B, Alphabet at ~$75B, and MSFT at ~$85B—all funneling massive investments into AI data centers that reinforce the US compute cluster moat.
Singularity Compute, the for-profit infrastructure arm of decentralised AI pioneer SingularityNET, today announced the Phase I launch of its first enterprise-grade NVIDIA GPU cluster, deployed in ...
Strictly speaking, these are not supercomputers in the classical sense. Traditional supercomputers are highly specialized machines designed for scientific simulations such as climate modeling, nuclear ...
Nvidia CEO Jensen Huang shown here holding a CPU designed for AI data centers. The company's A100 and H100 GPUs have been in even higher demand among AI companies. Last year, ...
What if you could hold the power of a fully functional cluster computer in the palm of your hand? The Sipeed NanoCluster is turning that vision into reality, offering a new solution for Raspberry Pi ...
It used to be that building a usable compute cluster took plenty of money, skills, and space in the datacenter. Although creating the actual applications that run on the cluster can still be difficult ...
Stephen Shankland worked at CNET from 1998 to 2024 and wrote about processors, digital photography, AI, quantum computing, computer science, materials science, supercomputers, drones, browsers, 3D ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the first wave of cloud computing, companies moved many common workloads from expensive ...
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