SINGAPORE, Aug. 05, 2026 (GLOBE NEWSWIRE) — KAYTUS ece tly completed the delive y a d deployme t of a 400- ack custom high-de sity ai -cooled cluste fo a AI data ce te i Japa . F om custom R&D a d la ge-scale ma ufactu i g to full o -site delive y, the e ti e p oject took just 72 days, sho te i g the typical i dust y deployme t cycle of app oximately 180 days by 60%, p ovidi g efficie t computi g powe fo co e wo kloads.
As la ge-model applicatio s t a sitio apidly f om developme t to p oductio deployme t, AI compute i f ast uctu e is evolvi g beyo d co ve tio al ha dwa e delive y i to a comp ehe sive systems-e gi ee i g challe ge, defi ed by the ability to desig , i teg ate, validate, a d scale la ge, hete oge eous compute cluste s with high eliability. Deployme t speed is o lo ge me ely a i dicato of e gi ee i g executio , it di ectly dete mi es time-to-se vice to co ve t i f ast uctu e i vestme t i to comme cial value.
The successful ollout of this p oject highlights KAYTUS’s comp ehe sive st e gths. It demo st ates KAYTUS’s ability to systematically add ess the challe ges of la ge-scale computi g cluste co st uctio , i cludi g high deployme t complexity, comp essed delive y schedules, a d st i ge t equi eme ts fo compute de sity, system eliability, a d ope atio al eadi ess.
The ai -cooled AI data ce te delive ed u de this p oject ep ese ts a st ategic AI compute i f ast uctu e deployme t built by a leadi g CSP to suppo t high-dema d wo kloads ac oss secto s. Give the p oject’s la ge scale, hete oge eous wo kload equi eme ts, a d st i ge t pe fo ma ce ta gets, it placed exceptio ally high dema ds o deployme t efficie cy, system eliability, e gi ee i g quality, a d e d-to-e d delive y assu a ce:
At the same time, high-de sity ai -cooled cluste s place st i ge t equi eme ts o ai flow hot-aisle/cold-aisle co tai me t, ack-level the mal bala ce, a d cabi et i stallatio sta da ds. Mi o deviatio s i ack placeme t, cable outi g, ai flow isolatio , o deployme t p ecisio ca di ectly affect the mal efficie cy a d lo g-te m system stability, fu the aisi g the equi eme ts fo o -site e gi ee i g executio a d delive y quality.
The e d-to-e d delive y of the 400- ode cluste withi 72 days was e abled by KAYTUS’s matu e compute i f ast uctu e delive y f amewo k, developed th ough yea s of la ge-scale cluste deployme t expe ie ce. D awi g o tightly coo di ated capabilities i p oduct defi itio , la ge-scale ma ufactu i g, a d cluste deployme t, it b ought a complex p oject o li e quickly.
This p oject had to fit a local high-de sity ai -cooled facility i Japa while co ti uously suppo ti g high-co cu e cy la ge-model i fe e ce — equi eme ts that co ve tio al solutio s could ot bala ce ac oss cooli g, data i te co ect, a d system stability. Ea ly i developme t, KAYTUS optimized the ove all system a chitectu e a ou d the facility’s ai flow pa amete s a d the custome ‘s specific wo kload p ofile, e su i g the solutio fit the actual deployme t sce a io p ecisely. By f o t-loadi g p oductio a d deployme t eeds i to ea ly pla i g, KAYTUS avoided epeated ite atio s a d met the 72-day full-cycle ta get, savi g the custome sig ifica t time.
These 400 acks of dedicated custom se ve s featu ed o -sta da d system specificatio s that could ot u o ge e al p oductio li es. Th ough modula p oductio p ocesses, dedicated p oductio -li e modificatio s, a d p e-p ocessi g of compo e ts, KAYTUS b ought the o -sta da d model i to la ge-scale p oductio . Combi ed with full facto y testi g a d emote i tellige t diag ostics, issues we e esolved befo e shipme t, with o ewo k o debuggi g eeded o a ival. This avoided schedule delays f om la ge-scale equipme t faults — a d stable p oduct quality was the key suppo t behi d a delive y cycle 60% sho te tha the i dust y ave age.
Co ce t ated deployme t of a 400- ack cluste — combi ed with Japa ‘s facility secu ity co t ols, st i ge t site delive y co st ai ts, a d tight ope atio al limits — mea t a t aditio al se ial co st uctio model could ot meet the custome ‘s u ge t go-live eeds. Th ough pa allel multi-team wo kflows a d fully sta da dized co st uctio , the p oject i stalled up to 80 acks i a si gle day a d completed deployme t of the e ti e cluste i just 12 days. Rapid delive y let the custome lau ch comme cial ope atio s ahead of schedule, while p ecise cooli g a d i teg ated co t ol safegua d lo g-te m, high-load stable ope atio of the e ti e cluste .
As la ge-model applicatio s co ti ue to deepe , the AI i dust y’s dema ds o the speed, quality, a d scale of computi g i f ast uctu e keep isi g. The decisive facto i p oject competitio is shifti g f om si gle-poi t pe fo ma ce to full-chai capability spa i g sce a io defi itio , la ge-scale ma ufactu i g, system i teg atio , a d o -site delive y.
The success of this p oject validates KAYTUS’s systematic delive y capability i la ge-scale data ce te co st uctio , a d offe s global custome s a eplicable, scalable app oach to buildi g data ce te s.
Looki g ahead, KAYTUS will co ti ue to leve age its st e gths i e d-to-e d executio , sma t ma ufactu i g, a d global delive y to help mo e custome s u lock computi g value faste , adva ci g AI i f ast uctu e towa d a ew stage of g eate efficie cy.
KAYTUS is a leadi g p ovide i AI i f ast uctu e a d liquid cooli g solutio s, delive i g a dive se a ge of i ovative, ope , a d eco-f ie dly p oducts fo cloud, AI, edge computi g, a d othe eme gi g applicatio s. With a custome -ce t ic app oach, KAYTUS is agile a d espo sive to use eeds th ough its adaptable busi ess model. Discove mo e at KAYTUS.com a d follow us o Li kedI a d X
