Press Release Copy (originally announced through PRNewswire)
MMCLEAN, Va., Sept. 21, 2021 /PRNewswire/ –Dihuni, a leading artificial intelligence (AI), data center and Internet of Things (IoT) solutions company, today announced increased adoption of its Dihuni OptiReady CognitX Deep Learning server and workstation products featuring NVIDIA Ampere architecture-based GPUs. These pre-configured systems are designed to make AI infrastructure selection simple and accelerate deployment – from procurement to running AI applications.
Continue reading Dihuni OptiReady CognitX Deep Learning Servers and Workstations Powered by NVIDIA Ampere Architecture-based GPUs – Simplify and Accelerate AI Infrastructure Deployment
Dihuni, a leading provider of artifical intelligence (AI), high performance computing (HP), data center and internet of things (IoT) solutions, today announced expansion of product portfolio to feature the new AMD EPYC™ 7003 Series Processors (codenamed ‘Milan’).
Continue reading Dihuni’s AMD EPYC™ 7003 Series ‘Milan’ Offerings Raise the Performance Bar for Digital Transformation Applications
This post was originally published on vcloudnews.com which is owned by Dihuni.
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Following AMD’s global launch of the AMD EPYC™ 7002 Series processor along with their OEM partners, we are thrilled to announce that Dihuni will be offering a wider range of AMD EPYC servers now with the ability to support the new 2nd generation EPYC™ processors.
Continue reading Dihuni Now Offering AMD EPYC 7002™ Series Processor-based Servers for Digital Transformation
We are pleased to inform servers featuring the new 2nd Gen Intel Xeon Scalable processors (formerly codenamed Cascade Lake) are now shipping in regular production volumes. Combined with NVIDIA Tesla V100 and T4 GPUs these servers are perfectly suited for the most demanding Deep Learning and AI (artificial intelligence) applications. Continue reading Dihuni Ships Servers with New 2nd Generation Intel Xeon Scalable Processors (Cascade Lake) and NVIDIA Tesla V100 and Tesla T4 GPUs for Deep Learning Applications