- NVIDIA a d KAIST a e lau chi g a joi t AI esea ch lab at the KAIST Kim Jaechul G aduate School of AI i Seoul, dedicated to adva ci g age tic AI models a d age t systems built fo South Ko ea’s i dust ies, la guage a d futu e.
- The collabo atio i cludes compute co t ibutio s, fu di g fo at least 10 KAIST esea che s a ually with NVIDIA i te ships, plus full-time NVIDIA oles fo top Ko ea esea che s — c eati g ew pathways fo Ko ea’s AI tale t.
- A co e focus is developi g models optimized fo Ko ea, usi g NVIDIA Nemot o ope models a d local NVIDIA Cloud Pa t e i f ast uctu e to build a pipeli e f om academic esea ch to e te p ise a d atio al AI deployme ts.
SANTA CLARA, Calif. a d SEOUL, July 23, 2026 (GLOBE NEWSWIRE) — NVIDIA a d the Ko ea Adva ced I stitute of Scie ce a d Tech ology (KAIST) today a ou ced the lau ch of a joi t AI esea ch labo ato y at the KAIST Kim Jaechul G aduate School of AI i Seoul, dedicated to adva ci g age tic AI fo South Ko ea.
The collabo atio will establish a obust academic AI esea ch p og am, b i gi g togethe NVIDIA full-stack AI expe tise, NVIDIA Nemot o ™ ope models a d NVIDIA AI Cloud pa t e computi g with the wo ld-class scie tific tale t at KAIST, o e of Asia’s p emie esea ch u ive sities.
“Ko ea is home to leadi g AI esea che s a d is o e of the wo ld’s most adva ced tech ology ecosystems,” said Bill Dally, chief scie tist a d se io vice p eside t of esea ch at NVIDIA. “The joi t NVIDIA-KAIST esea ch lab will p ovide a fou datio fo the ext f o tie of AI esea ch to accele ate AI models a d age t systems built fo Ko ea’s i dust ies, la guage a d futu e.”
“AI esea ch is e te i g a ew e a — o e that equi es f o tie tale t, la ge-scale i f ast uctu e a d deep collabo atio ac oss academia a d i dust y,” said Hyu woo Kim, i comi g faculty membe at the KAIST Kim Jaechul G aduate School of AI, who will se ve as head of the joi t NVIDIA-KAIST lab upo joi i g KAIST. “Togethe , NVIDIA a d KAIST Kim Jaechul G aduate School of AI will pu sue ambitious wo k that helps Ko ea att act a d etai top AI scie tists while buildi g lasti g ties with NVIDIA’s global esea ch o ga izatio .”
The joi t lab pla s to fu d at least 10 KAIST esea che s a ually a d p ovide each with i te ship oppo tu ities at NVIDIA. I additio , NVIDIA pla s to hi e exceptio al Ko ea esea che s fo full-time positio s. Togethe , these effo ts will c eate st o ge pathways fo Ko ea’s top AI tale t to pu sue ambitious esea ch, build lo g-te m ca ee s a d deepe global collabo atio betwee academia a d i dust y.
The $300 millio collabo atio is expected to i clude $50-millio -pe -yea compute co t ibutio s ac oss a i itial five-yea pe iod. Compute i f ast uctu e f om local NVIDIA Cloud Pa t e s will p ovide esea che s with di ect access to the latest NVIDIA AI i f ast uctu e.
Amo g the lab’s p io ities will be developi g models optimized fo the Ko ea la guage a d Ko ea-specific use cases, with NVIDIA Nemot o ope models to adva ce the cou t y’s AI capabilities, foste i g a pipeli e f om academic discove y to e te p ise a d atio al AI deployme ts.
PR OfficeKAISTkaistp @kaist.ac.k
Ce tai stateme ts i this p ess elease i cludi g, but ot limited to, stateme ts as to: the joi t NVIDIA-KAIST esea ch lab p ovidi g a fou datio fo the ext f o tie of AI esea ch to accele ate AI models a d age t systems built fo Ko ea’s i dust ies, la guage a d futu e; expectatio s with espect to NVIDIA’s collabo atio with KAIST; expectatio s with espect to g owth, pe fo ma ce, availability, a d be efits 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 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 the compa y’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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