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The central processing unit ( CPU ) and the computer graphic processing whole ( GPU ) treat different types of data . The CPU is used in almost all devices admit computers , cellphones , tablets , smartwatches and idiot box . It deals with processing general information on the twist , making trusted software system is running right . While the GPU complements the CPU , it handle complex work load like supercomputing , AI , auto learning and all-inclusive data analysis where numeral precision is required .
The COVID - induced chip shortage led globose chipmakers to search for alternatives to standard chips to help ensure a steady supplying of semiconductor . At the same time , company are perpetually searching for more efficient way to thin cost and improve productivity at the chip level . The datum processing unit , or DPU , has emerge as a complement to CPUs and GPUs to help . The DPU offloads communication connection from the CPU or GPU to help optimize work load for swarm and data centers , and helps thin the price by reducing the workload of more expensive GPUs and central processor .
One DPU developer , MangoBoost , has raised a $ 55 million Series A for its DPU ironware and software solution that help enterprises and data point shopping center manage massive amounts of datum to optimize workload . The inauguration did not discover its valuation with today ’s stave , however , harmonise to source conversant with the affair , MangoBoost ’s valuation is estimated at around $ 300 million . The party has now raised $ 65 million .
The Seattle- and Seoul - base startup says its DPU root enables data center to reduce power intake and optimize performance with cost efficiency and security . MangoBoost claim its DPU can achieve three times higher performance than existing result and tighten central processor usage by up to 95 % when the DPU is used in conjunction with Samsung ’s Petabyte SSD storage system .
The proceeds of the investment will help the one - year - one-time inauguration hike the evolution and operation of its products such as DPU computer hardware IP , DPU software , FPGA ( Field Programmable Gate Array)-based DPU , ASIC ( covering - specific integrated circuits)-based DPU , artificial word - based DPU , customize DPU solutions and DPU - enhanced systems . It will also utilise the money to replicate its workforce by the end of next yr , which presently counts 58 stave , including 71 % of them on the R&D squad .
CEO of MangoBoost , Jangwoo Kim , says the party achieve efficiency through more than nine years of R&D about how the DPU technology works for datum centers at the Seoul National University laboratory .
contender in the DPU grocery store is increasing as Big Tech company and semiconductor unit giant likeIntel , Nvidia , AMD , Amazon andMicrosoftinvested in DPU vendors to bolster their optimization technology for data center services . A host of companies provides DPU - like engineering science , include Microsoft FPGA Smart NIC and Amazon Nitro .
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Kim pronounce that Intel , Nvidia and AMD offer their DPUs typically as a PCIe card with their own DPU bit they have modernise . He added that one of the key differentiators of MangoBoost ’s products is that it provides an extensive and customizable set of DPU features that can meet each customer ’s pauperism . That includes AI server DPU , big datum waiter DPU and cloud server DPU .
“ Our goal is to provide full - stack DPU computer hardware and software solutions to satisfy the various need of client , ” Kim say .
The outfit , which is in talk of the town with several possible customers for partnerships , had a intro at OCP Summit 2023 last week about its quislingism workplace with Samsung in apply MangoBoost ’s customized DPU to speed up Samsung ’s Peta Byte storage .
South Korean venture capital firms IMM Investment and Shinhan Venture Investment cobalt - head the Series A. Korea Development Bank , KB Investment , Hong Kong - based IM Capital and Premier Partners also enter in the latest rung .
Granulate nail $ 30 metre for software to optimise work load and latency
