NVIDIA and Semiconductor Leaders Advance AI Across Chip Design and Manufacturing for AI-Defined Fabs

News Summa y:

• NVIDIA i t oduces cuPote tial, a ew NVIDIA CUDA-X lib a y develope s ca use to build AI age ts that simulate how atoms a d molecules i te act, accele ati g al eady GPU-optimized wo kflows by a additio al 2-3x i ea ly-access testi g.
• Na oVDB, a ope sou ce lib a y fo wo ki g with 3D data, accele ates chipmaki g simulatio fo AI-defi ed fabs, helpi g Lam Resea ch achieve 30x faste simulatio .
• NVIDIA NPP, a lib a y fo p ocessi g images o GPUs, accele ates chipmaki g i spectio fo AI-defi ed fabs, helpi g KLA accele ate i spectio .
• Applied Mate ials, Cade ce, KLA, Lam Resea ch, Sieme s, Sy opsys a d othe semico ducto leade s a e usi g NVIDIA’s accele ated computi g a d AI stack ac oss chip desig , ma ufactu i g a d testi g, helpi g d ive faste developme t, bette yield a d g eate p oductio capacity.

SAN FRANCISCO, Oct. 14, 2026 (GLOBE NEWSWIRE) — SEMICON West — NVIDIA today a ou ced semico ducto leade s a e adopti g NVIDIA CUDA-X™ lib a ies — i cludi g the ew NVIDIA cuPote tial lib a y, which develope s ca use to build AI age ts that simulate how atoms a d molecules i te act — to adva ce AI-defi ed fabs.

AI-defi ed fabs a e semico ducto facto ies whe e AI helps e gi ee s optimize p ocesses, solve p oductio issues a d imp ove p oductio efficie cy. As dema d fo adva ced chips ises, such fabs must expa d p oductio while ma agi g i c easi gly complex ma ufactu i g p ocesses. E gi ee s eed ew ways to model mate ials, a alyze i spectio data a d test p ocess cha ges i digital twi s befo e applyi g them i p oductio .

The expa ded CUDA-X po tfolio gives AI age ts a d e gi ee i g applicatio s accele ated tools fo semico ducto simulatio , 3D data p ocessi g a d image a alysis, helpi g automate mo e e gi ee i g wo k ac oss chip desig a d ma ufactu i g so fabs ca p edict p ocess behavio a d imp ove yield.

“The semico ducto i dust y made the AI evolutio possible. Now, AI is t a sfo mi g how chips a e built,” said Tim Costa, vice p eside t a d ge e al ma age of i dust ial a d computatio al e gi ee i g at NVIDIA. “As fabs ace to meet dema d fo adva ced chips, NVIDIA CUDA-X a d Om ive se lib a ies give AI age ts accele ated simulatio a d i spectio tools to help e gi ee s ma age complexity, imp ove yield a d adva ce AI-defi ed fabs.”

NVIDIA cuPote tial Accele ates How Resea che s Model Atomic I te actio s U de sta di g how atoms a d molecules i te act is c itical to modeli g semico ducto mate ials a d ma ufactu i g p ocesses, but these calculatio s ca take sig ifica t amou ts of time, eve i softwa e al eady optimized fo GPUs.

NVIDIA cuPote tial accele ates atomic-scale simulatio with specialized GPU-accele ated fu ctio s develope s ca add to existi g softwa e. It helps esea che s model elect ical fo ces a d othe i te actio s ac oss la ge umbe s of atoms to test a d efi e simulatio s faste . Sy opsys is amo g the ea ly adopte s usi g cuPote tial to accele ate mate ials simulatio s.

By maki g these modeli g capabilities available to AI age ts, cuPote tial helps age ts u , evaluate a d ite ate o adva ced molecula simulatio s. I ea ly-access testi g, the lib a y accele ated al eady GPU-optimized wo kflows by a additio al 2-3x.

Semico ducto Leade s Adva ce AI-Defi ed Fabs With NVIDIA CUDA-XAI-defi ed fabs equi e faste ways to model chip desig s, mate ials behavio a d ma ufactu i g p ocesses befo e cha ges each p oductio . NVIDIA CUDA-X lib a ies — i cludi g NVIDIA cuPote tial fo simulati g atomic i te actio s, NVIDIA cuEST fo modeli g elect o ic behavio a d NVIDIA cuDSS fo solvi g complex e gi ee i g simulatio s — accele ate these wo kloads to help make fabs mo e auto omous.

Sy opsys is usi g cuPote tial, cuEST a d cuDSS to accele ate semico ducto simulatio s, with ea ly Qua tumATK esults showi g a pote tial 30x speedup usi g cuEST, a d S-Device be chma ks showi g a 12x speedup usi g cuDSS. The compa y’s Age tE gi ee solutio s i te ope ate with NVIDIA Nemot o ™ ope models a d NVIDIA NeMo™ to suppo t AI age ts fo chip desig a d ve ificatio .

Cade ce is usi g NVIDIA accele ated computi g, NVIDIA Nemot o ope models a d CUDA-X lib a ies to b i g age tic AI to the desig a d simulatio of elect omecha ical systems — f om semico ducto s to adva ced packagi g a d p i ted ci cuit boa ds. Examples i clude Cade ce Au aStack AI Supe Age t optimizi g adva ced packages fo heat a d st ess 8x faste usi g cuDSS with Cade ce Celsius, a d Nemot o with ChipStack AI Supe Age t fo semico ducto desig a d ve ificatio .

COMSOL is accele ati g semico ducto multiphysics simulatio s with NVIDIA cuDSS, delive i g up to 10x faste simulatio s to help e gi ee s optimize equipme t a d p ocesses. Its upcomi g COMSOL MCP Se ve will use the NVIDIA Nemot o Ult a ope model to e able AI-assisted modeli g a d desig explo atio .

Voltai accele ates adva ced chip packagi g with Voltai e, its age tic multiphysics platfo m fo 3D-IC desig a d simulatio . Voltai e combi es AI age ts with GPU-accele ated solve s powe ed by NVIDIA cuDSS a d CUDA-X lib a ies, comp essi g complex elect o-the mal-mecha ical simulatio wo kflows f om mo ths to a day.

ChipAge ts uses NVIDIA AI i f ast uctu e a d NVIDIA model-t ai i g a d optimizatio softwa e to develop specialized AI models fo chip desig . The compa y is also wo ki g with NVIDIA to develop Build-A-Chip Be ch, a ew AI be chma k that evaluates age ts ac oss e d-to-e d wo kflows f om specificatio to g aphic data system. The be chma k gives the i dust y a comp ehe sive measu e of p og ess towa d fully auto omous semico ducto e gi ee i g.

NVIDIA Ope Lib a ies Help P epa e a d Optimize Ma ufactu i g Wo kflowsFabs depe d o thousa ds of p ocess steps that must be modeled, efi ed a d validated befo e p oductio . The NVIDIA cuLitho lib a y accele ates calculatio s fo p i ti g chip patte s; Na oVDB — a ope sou ce lib a y fo wo ki g with 3D data — accele ates chipmaki g simulatio s; a d the ope NVIDIA PhysicsNeMo™ f amewo k helps t ai physics AI models to p edict how physical systems behave.

Sieme s is usi g cuLitho to speed up Calib e softwa e fo chip-patte efi eme t a d mask p epa atio . Its Solido team is also developi g age t-d ive cha acte izatio wo kflows with Nemot o ope models a d NVIDIA NeMo ope lib a ies.

Lam Resea ch i te ds to i teg ate Na oVDB i to its adva ced semico ducto p ocess modeli g platfo m SEMulato 3D, pa t of the compa y’s Semive se Solutio s family of vi tual p oducts. The additio of Na oVDB is expected to accele ate select wafe -etch modeli g by up to 30x, while usi g NVIDIA PhysicsNeMo has bee demo st ated to assist i educi g plasma-p edictio simulatio time to as little as milliseco ds i stead of days.

Lumi a y is applyi g NVIDIA PhysicsNeMo to semico ducto package desig , t ai i g physics AI models to p edict tempe atu e, p essu e d op a d the mal st ess ac oss package co figu atio s — e abli g e gi ee s to explo e 100x mo e desig s i the same schedule without u i g a ew simulatio fo eve y optio .

AI-Defi ed Fabs I spect a d Test Chips With NVIDIA CUDA-X Lib a iesAI-defi ed fabs eed to a alyze i spectio images a d test data quickly e ough to catch defects, mai tai equipme t a d imp ove yield. NVIDIA NPP, a lib a y fo p ocessi g images o GPUs, a d NVIDIA RAPIDS cuDF, a lib a y fo p ocessi g la ge datasets o GPUs, help accele ate test a d quality-co t ol wo kflows.

Usi g NVIDIA AI a d accele ated computi g, imec is emovi g oise f om sca i g elect o mic oscope images used fo sub- a omete chip measu eme ts a d usi g NVIDIA cuLitho to e able computatio ally i te sive p ocess-wi dow optical p oximity co ectio — achievi g a 30% imp oveme t i the lithog aphy p ocess wi dow.

KLA applied i sights f om its highly optimized p oductio ke els to a ew NPP NCC ke el that achieved pe fo ma ce levels 50x faste tha ea lie CPU ve sio s, compa able with KLA’s ha d-tu ed impleme tatio s.

Te ady e is usi g NVIDIA NPP a d accele ated computi g to accele ate image-se so testi g, a d RAPIDS cuDF a d CuPy fo GPU calculatio s, to delive app oximately 85x faste p obe-mai te a ce i fe e ce, helpi g ide tify deg adi g p obes befo e they affect yield.

Adva test has i teg ated NVIDIA Nemot o a d NVIDIA Kumo-A omaly i to ACS RTDI to e able AI-d ive semico ducto p oductio a alytics. Powe ed by NVIDIA G ace Blackwell systems, ACS delive s eal-time diag ostics a d i fe e ci g that ecomme d co ective actio s fo test cells. Adva test is also usi g NVIDIA NeMo Switchya d AI age ts to automate model selectio , st eamli e semico ducto test wo kflows a d educe espo se times f om hou s to mi utes.

NVIDIA Tech ologies Adva ce Fab Ope atio s a d Automatio I a AI-defi ed fab, equipme t data must move f om i st ume ts i to AI systems fast e ough to suppo t ope atio al decisio s.

Applied Mate ials is usi g NVIDIA Om ive se™ a d NVIDIA CUDA-X lib a ies, i cludi g cuDSS, cuEST a d PhysicsNeMo, ac oss mate ials discove y, p ocess developme t a d fab optimizatio — e abli g up to 35x faste chambe simulatio s a d fab digital twi s that help optimize layouts a d mate ial flow.

A alog Devices I c. is combi i g Sy opsys physics simulatio with the NVIDIA Isaac Sim™ f amewo k a d Om ive se lib a ies to develop high-fidelity se si g simulatio s a d obotic be chma ks, helpi g e gi ee s evaluate how se so s behave withi complete obotic systems.

FANUC a d Foxco a e co ecti g thei obot models to the Mega NVIDIA Om ive se Bluep i t, e abli g ma ufactu e s to simulate a d validate obotic ope atio s i facto y digital twi s befo e physical deployme t.

OMRON is usi g NVIDIA Cosmos™ ope wo ld models a d the NVIDIA Met opolis Bluep i t fo video sea ch a d summa izatio i its i spectio equipme t to develop age ts that combi e visual data, equipme t docume tatio a d ma ufactu i g k owledge. These age ts help e gi ee s a alyze p i ted ci cuit boa d esults, i vestigate pote tial defect causes, a d suppo t t oubleshooti g a d quality co t ol.

AvailabilityNVIDIA cuPote tial is available i ea ly access. Na oVDB is available as ope sou ce withi Ope VDB, a d NPP is available th ough NVIDIA CUDA Toolkit. Lam Resea ch’s Na oVDB-accele ated SEMulato 3D capability is ta geted fo elease by the e d of this yea .

Lea mo e by joi i g NVIDIA at SEMICON West.

About NVIDIANVIDIA (NASDAQ: NVDA) is the wo ld leade i AI a d accele ated computi g.

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