Dihuni introduced that it has began transport optiReady GPU (graphics processing unit) servers and workstations designed for generative AI (synthetic intelligence) and LLM (massive language mannequin) purposes. These pre-configured methods are designed to make generative AI infrastructure choice easy and speed up deployment from procurement to working purposes.
Dihuni has enabled a suite of latest GPU servers with a web-based configurator for purchasers to pick GPU, CPU (central processing unit) and different configuration choices. These GPU servers could be preloaded with working system and AI packages together with pytorch, tensorflow, keras and so on. Servers could be bought stand-alone or for bigger deployments equivalent to LLM and generative AI, Dihuni presents racked and cabled pods of excessive efficiency GPU clusters.
“New Generative AI purposes require excessive efficiency GPU methods. We’re utilizing our years of experience, applied sciences, partnerships and supply-chain to assist Generative AI software program firms speed up their software growth. Now we have been serving to prospects in a number of verticals with their GPU server necessities and supply selection and suppleness from a system structure and software program standpoint to make sure we’re delivering methods optimised for Generative AI purposes.” says Pranay Prakash, chief govt officer at Dihuni.
The entire line of generative AI accelerated GPU servers permits flexibility for college kids, researchers, scientists, architects and designers to pick methods that may be sized appropriately and optimised for his or her AI and HPC (excessive efficiency computing) purposes.
Extra data on servers that includes current GPUs could be discovered by visiting right here.
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