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 ...
Since June of this year, anyone working in Hoyt Hall has no doubt heard the drilling and seen the big equipment being installed in the secure data center on the first floor of the building. What’s ...
First announced in April 2022, Ascend comprises of Dell PowerEdge servers, 48 AMD EPYC CPUs, and 96 Nvidia A100 80GB Tensor Core GPUs with Nvidia NVLink, and connected by the NVIDIA Quantum 200 Gbps ...
Michigan Technological University has completed a two-year project resulting in significant expansion to the capabilities of our SUPERIOR high-performance computing cluster. The expansion was a direct ...
We're here to support research in every way possible, ensuring that researchers have access to the computing resources they need. Whether it's high-performance computing for complex simulations, ...
The Chan Zuckerberg Initiative (CZI) plans to deploy a 1,000+ Nvidia H100 GPU high-performance computing cluster to develop large language models and other artificial intelligence models for ...
Yale’s capacity to conduct high-performance computing and artificial intelligence-related research continues to expand, thanks to a pair of recent moves aimed at advancing the university’s computing ...
High-performance computing (HPC) aggregates multiple servers into a cluster that is designed to process large amounts of data at high speeds to solve complex problems. HPC is particularly well suited ...
High-performance computing innovations are redefining the future of enterprise computing, pushing the boundaries of scalability, sustainability and innovation. At the heart of this transformation is ...
High performance computing cluster for virological research NAKSHATRA will enable faster analysis of complex genomic data and help detect new disease threats sooner besides responding to outbreaks ...
When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to ...
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