NVIDIA Ve a Rubi NVL72 a d NVIDIA Ve a CPUs A e Now Ge e ally Available o OCI, With Pla s to I t oduce HGX Rubi NVL8 Systems to Help O ga izatio s Accele ate F o tie Model T ai i g, Imp ove I fe e ce Efficie cy a d Scale Age tic Wo kloads
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NVIDIA a d O acle today a ou ced pla s to expa d O acle Cloud I f ast uctu e (OCI) Supe cluste s with NVIDIA Ve a Rubi NVL72 systems to multi-gigawatt scale, suppo ti g g owi g custome dema d fo AI t ai i g, i fe e ce a d age tic applicatio s.
LAS VEGAS, Oct. 27, 2026 (GLOBE NEWSWIRE) — O acle AI Wo ld—NVIDIA a d O acle today a ou ced pla s to expa d O acle Cloud I f ast uctu e (OCI) Supe cluste s with NVIDIA Ve a Rubi NVL72 systems to multi-gigawatt scale, suppo ti g g owi g custome dema d fo AI t ai i g, i fe e ce a d age tic applicatio s. O acle a d NVIDIA also expa ded thei AI i f ast uctu e collabo atio with the ge e al availability of NVIDIA Ve a Rubi NVL72 a d NVIDIA Ve a CPUs o OCI.
The expa ded collabo atio gives custome s i f ast uctu e fo both the GPU-i te sive wo k of t ai i g a d se vi g f o tie models a d the CPU-i te sive tasks age ts pe fo m betwee model calls, i cludi g executi g tools, testi g code a d et ievi g data. Custome s ca scale CPU a d GPU esou ces i depe de tly to match thei wo kloads, helpi g educe idle capacity a d put mo e of thei i f ast uctu e to p oductive use.
OCI Supe cluste s Help O ga izatio s B i g F o tie AI to Ma ket Faste at Multi-Gigawatt ScaleOCI Supe cluste s combi e NVIDIA NVL72 ack-scale systems, O acle Accele o etwo ki g with NVIDIA Spect um-X™ Ethe et etwo ki g featu i g NVIDIA Spect um™-6 switches a d NVIDIA BlueField®-4 DPUs, a d gigawatt-class powe a d cooli g to t ai a d se ve the la gest AI models. Each ack co ects 72 GPUs th ough NVIDIA NVLi k™ scale-up etwo ki g, while OCI’s esilie t, multipla a etwo k scales ac oss hu d eds of thousa ds of GPUs.
The pla ed Ve a Rubi expa sio builds o OCI’s existi g NVIDIA-powe ed i f ast uctu e, i cludi g NVIDIA GB200 a d GB300 NVL72 systems. NVIDIA’s commo CUDA® softwa e fou datio a d co ti ued softwa e optimizatio help custome s suppo t evolvi g models a d wo kloads ac oss ha dwa e ge e atio s.
OCI also pla s to i t oduce NVIDIA HGX Rubi NVL8, delive i g eight Rubi GPUs co ected th ough NVLi k i a x86-based se ve co figu atio .
The pla ed platfo m featu es two 64-co e I tel Xeo 6 CPUs, 4TB of DDR5 memo y a d 6.4 Tbps of high-speed RDMA etwo ki g, p ovidi g a flexible deployme t optio fo AI t ai i g, fi e-tu i g a d i fe e ce. HGX Rubi NVL8 e ables custome s to adopt ext-ge e atio Rubi GPU tech ology i a smalle eight-GPU co figu atio while mai tai i g compatibility with x86-based applicatio s.
This flexibility e ables custome s to adapt thei AI i f ast uctu e to diffe e t models a d wo kloads as thei eeds evolve, usi g accele ated computi g capacity ac oss both t ai i g a d i fe e ce to make bette use of thei i f ast uctu e i vestme ts.
Ope AI has demo st ated how this i f ast uctu e suppo ts f o tie AI. I Abile e, Ope AI has t ai ed a d se ved GPT-6 Ast a o a OCI Supe cluste with mo e tha 100,000 NVIDIA Blackwell GPUs.
“As ou f o tie models adva ce, we eed i f ast uctu e that ca keep pace,” said S eeka th Potha is, e gi ee i g leade , compute i f a at Ope AI. “NVIDIA Ve a Rubi o OCI gives us the computi g pe fo ma ce a d scale to accele ate model t ai i g a d se ve i c easi gly dema di g AI wo kloads.”
NVIDIA Ve a CPUs o OCI Accele ate the Wo k Behi d AI Age tsAI age ts do mo e tha ge e ate espo ses. They call tools, execute code a d et ieve i fo matio to complete tasks. Slow executio of those CPU-i te sive ope atio s ca delay esults a d leave GPUs waiti g betwee model calls.
OCI Compute with NVIDIA Ve a CPUs combi es high si gle-th ead pe fo ma ce with memo y ba dwidth to help age ts complete CPU-i te sive tasks faste . High si gle-th ead pe fo ma ce accele ates i dividual tool calls a d code executio , while high memo y ba dwidth keeps CPU co es supplied with data as age ts u co cu e t tasks. Togethe , these capabilities help educe GPU idle time a d mai tai co siste t pe fo ma ce as wo kloads scale. To fu the suppo t these wo kloads, OCI Kube etes E gi e e ables custome s to scale CPU a d GPU esou ces i depe de tly, while O acle Accele o p ovides ha dwa e-based isolatio fo wo kloads u i g u t usted, AI-ge e ated code.
Custome s with ea ly access to NVIDIA Ve a CPUs o OCI, i cludi g Ope AI, a e explo i g thei pote tial ac oss a a ge of AI wo kloads.
“NVIDIA Ve a CPUs o OCI delive the wo ld-class loaded pe fo ma ce eeded to execute code a d u tools ac oss ou apidly g owi g age tic sa dbox wo kloads,” said Uday Rudda aju, chief tech ology office of compute at Ope AI. “We a e b i gi g Ve a i to p oductio o OCI to suppo t these wo kloads at scale.”
“O acle Cloud I f ast uctu e gives custome s the pe fo ma ce, secu ity a d scale to adva ce f o tie AI,” said Mahesh Thiaga aja , p eside t of O acle Cloud I f ast uctu e at O acle. “Ou collabo atio with NVIDIA exte ds those capabilities ac oss t ai i g, i fe e ce a d age tic AI. By combi i g NVIDIA Ve a Rubi GPUs a d Ve a CPUs with O acle Accele o etwo ki g a d AI-optimized data ce te s, we’ e helpi g custome s keep GPUs p oductive, secu e a d scale efficie tly as thei eeds g ow.”
“AI facto ies must be p oductive, du able a d fu gible — delive i g efficie t computi g, emai i g useful th ough co ti ued softwa e adva ces a d se vi g diffe e t models a d wo kloads as dema d cha ges,” said Ia Buck, vice p eside t of hype scale a d high-pe fo ma ce computi g at NVIDIA. “With O acle, we’ e b i gi g Ve a Rubi a d Ve a CPUs to OCI to help custome s put mo e of thei i f ast uctu e to wo k today a d sustai its value as AI evolves.”
Lea mo e about O acle Accele o , O acle Cloud I f ast uctu e Supe cluste , O acle a d NVIDIA’s multige e atio al pa t e ship, a d OCI Compute with NVIDIA Ve a CPUs.
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O acle Fo wa d-Looki g Stateme tsStateme ts i this a ticle elati g to O acle’s futu e pla s, expectatio s, beliefs, a d i te tio s a e “fo wa d-looki g stateme ts” a d a e subject to mate ial isks a d u ce tai ties. Ma y facto s could affect O acle’s cu e t expectatio s a d actual esults, a d could cause actual esults to diffe mate ially. A discussio of such facto s a d othe isks that affect O acle’s busi ess is co tai ed i O acle’s Secu ities a d Excha ge Commissio (SEC) fili gs, i cludi g O acle’s most ece t epo ts o Fo m 10-K a d Fo m 10-Q u de the headi g “Risk Facto s.” These fili gs a e available o the SEC’s website o o O acle’s website at o acle.com/i vesto . All i fo matio i this a ticle is cu e t as of Octobe 27, 2026 a d O acle u de takes o duty to update a y stateme t i light of ew i fo matio o futu e eve ts.
NVIDIA Fo wa d-Looki g Stateme tsCe tai stateme ts i this p ess elease i cludi g, but ot limited to, stateme ts as to: expectatio s with espect to g owth, pe fo ma ce, availability, be efits a d lo g-te m value of NVIDIA’s p oducts, se vices a d tech ologies, a d elated t e ds a d d ive s; expectatio s with espect to NVIDIA’s thi d pa ty a a geme ts, i cludi g with its collabo ato s a d pa t e s; expectatio s with espect to AI i f ast uctu e capacity expa sio a d deployme t, a d elated timi g a d be efits; expectatio s with espect to tech ology developme ts, a d elated t e ds a d d ive s; p ojected ma ket g owth a d t e ds; expectatio s with espect to AI a d elated i dust ies; a d othe stateme ts that a e ot histo ical facts a e fo wa d-looki g stateme ts withi the mea i g of Sectio 27A of the Secu ities Act of 1933, as ame ded, a d Sectio 21E of the Secu ities Excha ge Act of 1934, as ame ded, which a e subject to the “safe ha bo ” c eated by those sectio s based o ma ageme t’s beliefs a d assumptio s a d o i fo matio cu e tly available to ma ageme t a d a e subject to isks a d u ce tai ties that could cause esults to be mate ially diffe e t tha expectatio s. Impo ta t facto s that could cause actual esults to diffe mate ially i clude: global eco omic a d political co ditio s; NVIDIA’s elia ce o thi d pa ties to ma ufactu e, assemble, package a d test NVIDIA’s p oducts; the impact of tech ological developme t a d competitio ; developme t of ew p oducts a d tech ologies o e ha ceme ts to NVIDIA’s existi g p oducts a d tech ologies; ma ket accepta ce of NVIDIA’s p oducts o NVIDIA’s pa t e s’ p oducts; desig , ma ufactu i g o softwa e defects; cha ges i co sume p efe e ces o dema ds; cha ges i i dust y sta da ds a d i te faces; u expected loss of pe fo ma ce of NVIDIA’s p oducts o tech ologies whe i teg ated i to systems; NVIDIA’s ability to ealize the pote tial be efits of busi ess i vestme ts o acquisitio s; a d cha ges i applicable laws a d egulatio s, as well as othe facto s detailed f om time to time i the most ece t epo ts NVIDIA files with the Secu ities a d Excha ge Commissio , o SEC, i cludi g, but ot limited to, its A ual Repo t o Fo m 10-K a d Qua te ly Repo ts o Fo m 10-Q. Copies of epo ts filed with the SEC a e posted o NVIDIA’s website a d a e available f om NVIDIA without cha ge. These fo wa d-looki g stateme ts a e ot gua a tees of futu e pe fo ma ce a d speak o ly as of the date he eof, a d, except as equi ed by law, NVIDIA disclaims a y obligatio to update these fo wa d-looki g stateme ts to eflect futu e eve ts o ci cumsta ces.
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