{"success":true,"data":{"pressRelease":{"id":"14401","rtpr_id":"nPNAkKxXGa","ticker":"IBM","exchange":"NYSE","all_tickers":["IBM"],"title":"IBM and Dallara to Advance AI and Quantum-Powered Design for High-Performance Vehicles","author":"PR Newswire","published_at":"2026-04-30T10:00:04.681Z","article_body":"IBM and Dallara to Advance AI and Quantum-Powered Design for High-Performance\nVehicles\nPR Newswire\n\nPARMA, Italy and NEW YORK, April 30, 2026\n* IBM and Dallara are collaborating on the development of new physics-based AI\nfoundation models.\n* One early model was trained on Dallara's proprietary and validated\naerodynamic data of a high-performance vehicle.\n* Early results show the potential to reduce aerodynamics simulation time from\nmany hours to few minutes and help engineers explore more design options\nearlier in vehicle development.\n* The companies are starting to explore how to integrate quantum computing in\nthe design workflow and further boost simulation fidelity for complex\naerodynamic problems.\nPARMA, Italy and NEW YORK, April 30, 2026 /PRNewswire/ -- IBM (NYSE: IBM\n(http://www.ibm.com/investor)) and the Dallara Group, a world-leading racing\nand high-performance vehicle manufacturer, today announced a collaboration to\nadvance vehicle design and optimization using AI and explore the use of\nquantum computing. The work combines Dallara's expertise in high-performance\nvehicle engineering with IBM's leadership in AI for physics and quantum\ncomputing to investigate how to accelerate aerodynamic design and open a path\nto even more advanced simulation workflows.\n\nFor more than 50 years, Dallara has designed and supplied high-performance\nvehicles for some of the world's top racing series, including IndyCar —\nwhere track speeds can average more than 230 mph (370 km/h) — as well as\nFormula 2, Formula 3, Super Formula, and Indy NXT, with additional work in\ntop-tier series such as Formula E, WEC, and IMSA. This breadth of racing\nprograms provides a unique ability to validate simulation results against\nreal-world vehicle performance. Dallara also applies its engineering to\nhigh-performance road vehicles and aerospace. These and other distinctive,\ninnovation-driven features of the company were key in IBM choosing to\ncollaborate with Dallara.\n\nAs part of the project, IBM has been developing domain-specific foundation\nmodels in close coordination with Dallara. The models leverage not only\nDallara's high-fidelity aerodynamic simulation data but also the company's\ndeep technical expertise. In a future step, the teams aim to integrate\nvalidated measurements of real vehicles in wind tunnels and on the track, but\nthe use of high-quality simulation data alone is already producing compelling\nearly results.\n\nEngineers rely heavily on computational fluid dynamics (CFD), to predict\naerodynamic forces and optimize how vehicles perform across components such as\nbody geometry, underfloor, wings, and wheels. These simulations are powerful\nbut computationally expensive. Even relatively narrow analyses may take a\ncouple of hours or more, while full race car development workflows may take\nweeks or months as engineers iterate through geometry changes, operating\nconditions, and performance tradeoffs.\n\nIBM and Dallara are using AI to speed up those workflows without replacing the\nunderlying physics. In one early example, which focused on the geometry of a\nconceptual Le Mans Prototype 2 (LMP2)-like race car, the two companies jointly\ncompared CFD analyses of multiple configurations of the rear diffuser — a\npart located in the rear underfloor that helps generate efficient downforce\nand thus grip — with results from the new physics-based AI method.\n\nThe traditional approach took a few hours to calculate all the configurations.\nMeanwhile, the AI model completed the same evaluations in about 10 seconds,\nidentifying the same optimal design with roughly the same error margins as\nCFD. Applied to a typical complete set of hundreds of geometry configurations,\nsuch a speedup could cut days of simulation time down to minutes.\n\nThese and other preliminary results suggest Dallara engineers can evaluate\nmore vehicle configurations in a fraction of time to move faster in early\ndesign phases, helping focus their most expensive computational resources on\ndeep-dive optimization of race car design and development.\n\nIn parallel, IBM and Dallara are starting to explore how quantum and hybrid\nquantum-classical approaches could further enhance race car design workflows.\nBy combining Dallara's expertise in high-fidelity vehicle engineering and\nCFD-driven design with IBM's leadership in quantum computing and AI, the\ncollaboration will evaluate where these methods can complement traditional\nsimulation workflows in the near-term while identifying longer-term\nopportunities for practical use in automotive and motorsport design.\n\n\"Racing has taught Dallara that there are two possible outcomes: you either\nwin or are forced to learn. IBM's close collaboration on this innovative\nproject is a testament of Dallara's willingness to continuously push its\nboundaries and never stop learning,\" said Andrea Pontremoli, Dallara CEO.\n\n\"Some of the hardest engineering challenges come down to accurately simulating\nthe physical world,\" said Alessandro Curioni, IBM Fellow and VP, Algorithms\nand Applications, IBM Research. \"With Dallara, IBM is applying AI to speed up\naerodynamic design today while advancing quantum computing in parallel to push\nsimulation farther. Together, these technologies can help engineers move\nfaster, explore more possibilities, and ultimately design better-performing\nvehicles.\"\n\nAdvancing aerodynamic design with AI\n\nDesigning a high-performance vehicle means balancing downforce, drag,\nstability, and responsiveness across conditions that can change from race to\nrace. Because some parts are designed with exacting precision, even small\ndesign changes can lead to surprisingly large impacts on performance, and the\nbest aerodynamic solution is not always obvious.\n\nThe AI models are being designed to help predict aerodynamic behaviors\ndirectly from geometry and related engineering inputs. As the collaboration\nprogresses, IBM and Dallara plan to expand the AI models across a wider range\nof conditions, such as different maneuvers or overtaking scenarios, apply them\nto design new vehicles and develop tools that enable faster exploration of new\naerodynamic configurations, before investing in intensive full-vehicle\nsimulations.\n\n\"High-performance vehicles are an ideal proving ground for neural surrogate\nmodels, but the potential impact goes well beyond the racetrack,\" said\nFabrizio Arbucci, Dallara CIO. \"More efficient designs could benefit all\ntransport categories, from passenger vehicles to aircraft, and even other\nindustries at the mercy of aerodynamics. Even a one to two percent reduction\nin drag across passenger vehicles could add up to meaningful fuel-efficiency\ngains at scale.\"\n\nInitial results of the collaboration are detailed in a preprint study\n(https://arxiv.org/abs/2604.18491) published at arXiv on April 20, 2026. This\nwork builds upon a new AI model developed by IBM, called Gauge-Invariant\nSpectral Transformers (GIST), which was described in a March 17th preprint\nstudy (https://arxiv.org/abs/2603.16849). IBM and Dallara presented these and\nother advances in applying AI to complex physical systems on April 26, 2026,\nat the International Conference on Learning Representations in Rio de Janeiro.\n\nAbout IBM\n\nIBM is a leading provider of global hybrid cloud and AI, and consulting\nexpertise. IBM helps clients in more than 175 countries capitalize on insights\nfrom their data, streamline business processes, reduce costs and gain the\ncompetitive edge in their industries. Thousands of governments and corporate\nentities in critical infrastructure areas such as financial services,\ntelecommunications and healthcare rely on IBM's hybrid cloud platform and Red\nHat OpenShift to affect their digital transformations quickly, efficiently and\nsecurely. IBM's breakthrough innovations in AI, quantum computing,\nindustry-specific cloud solutions and consulting deliver open and flexible\noptions to our clients. All of this is backed by IBM's long-standing\ncommitment to trust, transparency, responsibility, inclusivity and service.\nVisit www.ibm.com for more information.\n\nAbout The Dallara Group\n\nFounded in 1972 by Giampaolo Dallara, Dallara is a world-leading manufacturer\nspecializing in the design, engineering, and production of racing cars for\ntop-tier motorsports. The firm has expanded globally from Italy's Motor Valley\nwith a US Dallara Experience Hub in Speedway, Indiana. Dallara is the sole\nbuilder of racing cars for the IndyCar, Indy NXT, Formula 2, Formula 3 and\nSuper Formula Championships, it also supplies Cadillac and BMW in both the WEC\nand IMSA championships. The expertise acquired in racing is regularly used\nboth in the automotive world through consultancies and production services,\nwith also Dallara branded products like the Dallara Stradale and Dallara(EXP)\nand more recently in aerospace. Visit www.dallara.it for more information.\n\nMedia Contacts\n\nIBM Research\nDave Mosher\nIBM Research Communications\ndave.mosher@ibm.com\n\nAshley Peterson\nIBM Research Communications\nashley.peterson@ibm.com\n\nDallara\nAndrea Vecchi\nDallara Marketing & Communications Director\na.vecchi@dallara.it\n\n \n\nSOURCE IBM\n\n\n\nPhoto: \nhttps://mma.prnewswire.com/media/2969315/IBM_and_Dallara_CFD_vs_GIST_modeling.jpg\nhttps://mma.prnewswire.com/media/2319830/IBM_LOGO_1.jpg\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved.","article_body_html":"","raw_payload":{"data":{"id":"nPNAkKxXGa","title":"IBM and Dallara to Advance AI and Quantum-Powered Design for High-Performance Vehicles","author":"PR Newswire","ticker":"IBM","created":"2026-04-30T10:00:04.681Z","tickers":["IBM"],"exchange":"NYSE","article_body":"IBM and Dallara to Advance AI and Quantum-Powered Design for High-Performance\nVehicles\nPR Newswire\n\nPARMA, Italy and NEW YORK, April 30, 2026\n* IBM and Dallara are collaborating on the development of new physics-based AI\nfoundation models.\n* One early model was trained on Dallara's proprietary and validated\naerodynamic data of a high-performance vehicle.\n* Early results show the potential to reduce aerodynamics simulation time from\nmany hours to few minutes and help engineers explore more design options\nearlier in vehicle development.\n* The companies are starting to explore how to integrate quantum computing in\nthe design workflow and further boost simulation fidelity for complex\naerodynamic problems.\nPARMA, Italy and NEW YORK, April 30, 2026 /PRNewswire/ -- IBM (NYSE: IBM\n(http://www.ibm.com/investor)) and the Dallara Group, a world-leading racing\nand high-performance vehicle manufacturer, today announced a collaboration to\nadvance vehicle design and optimization using AI and explore the use of\nquantum computing. The work combines Dallara's expertise in high-performance\nvehicle engineering with IBM's leadership in AI for physics and quantum\ncomputing to investigate how to accelerate aerodynamic design and open a path\nto even more advanced simulation workflows.\n\nFor more than 50 years, Dallara has designed and supplied high-performance\nvehicles for some of the world's top racing series, including IndyCar —\nwhere track speeds can average more than 230 mph (370 km/h) — as well as\nFormula 2, Formula 3, Super Formula, and Indy NXT, with additional work in\ntop-tier series such as Formula E, WEC, and IMSA. This breadth of racing\nprograms provides a unique ability to validate simulation results against\nreal-world vehicle performance. Dallara also applies its engineering to\nhigh-performance road vehicles and aerospace. These and other distinctive,\ninnovation-driven features of the company were key in IBM choosing to\ncollaborate with Dallara.\n\nAs part of the project, IBM has been developing domain-specific foundation\nmodels in close coordination with Dallara. The models leverage not only\nDallara's high-fidelity aerodynamic simulation data but also the company's\ndeep technical expertise. In a future step, the teams aim to integrate\nvalidated measurements of real vehicles in wind tunnels and on the track, but\nthe use of high-quality simulation data alone is already producing compelling\nearly results.\n\nEngineers rely heavily on computational fluid dynamics (CFD), to predict\naerodynamic forces and optimize how vehicles perform across components such as\nbody geometry, underfloor, wings, and wheels. These simulations are powerful\nbut computationally expensive. Even relatively narrow analyses may take a\ncouple of hours or more, while full race car development workflows may take\nweeks or months as engineers iterate through geometry changes, operating\nconditions, and performance tradeoffs.\n\nIBM and Dallara are using AI to speed up those workflows without replacing the\nunderlying physics. In one early example, which focused on the geometry of a\nconceptual Le Mans Prototype 2 (LMP2)-like race car, the two companies jointly\ncompared CFD analyses of multiple configurations of the rear diffuser — a\npart located in the rear underfloor that helps generate efficient downforce\nand thus grip — with results from the new physics-based AI method.\n\nThe traditional approach took a few hours to calculate all the configurations.\nMeanwhile, the AI model completed the same evaluations in about 10 seconds,\nidentifying the same optimal design with roughly the same error margins as\nCFD. Applied to a typical complete set of hundreds of geometry configurations,\nsuch a speedup could cut days of simulation time down to minutes.\n\nThese and other preliminary results suggest Dallara engineers can evaluate\nmore vehicle configurations in a fraction of time to move faster in early\ndesign phases, helping focus their most expensive computational resources on\ndeep-dive optimization of race car design and development.\n\nIn parallel, IBM and Dallara are starting to explore how quantum and hybrid\nquantum-classical approaches could further enhance race car design workflows.\nBy combining Dallara's expertise in high-fidelity vehicle engineering and\nCFD-driven design with IBM's leadership in quantum computing and AI, the\ncollaboration will evaluate where these methods can complement traditional\nsimulation workflows in the near-term while identifying longer-term\nopportunities for practical use in automotive and motorsport design.\n\n\"Racing has taught Dallara that there are two possible outcomes: you either\nwin or are forced to learn. IBM's close collaboration on this innovative\nproject is a testament of Dallara's willingness to continuously push its\nboundaries and never stop learning,\" said Andrea Pontremoli, Dallara CEO.\n\n\"Some of the hardest engineering challenges come down to accurately simulating\nthe physical world,\" said Alessandro Curioni, IBM Fellow and VP, Algorithms\nand Applications, IBM Research. \"With Dallara, IBM is applying AI to speed up\naerodynamic design today while advancing quantum computing in parallel to push\nsimulation farther. Together, these technologies can help engineers move\nfaster, explore more possibilities, and ultimately design better-performing\nvehicles.\"\n\nAdvancing aerodynamic design with AI\n\nDesigning a high-performance vehicle means balancing downforce, drag,\nstability, and responsiveness across conditions that can change from race to\nrace. Because some parts are designed with exacting precision, even small\ndesign changes can lead to surprisingly large impacts on performance, and the\nbest aerodynamic solution is not always obvious.\n\nThe AI models are being designed to help predict aerodynamic behaviors\ndirectly from geometry and related engineering inputs. As the collaboration\nprogresses, IBM and Dallara plan to expand the AI models across a wider range\nof conditions, such as different maneuvers or overtaking scenarios, apply them\nto design new vehicles and develop tools that enable faster exploration of new\naerodynamic configurations, before investing in intensive full-vehicle\nsimulations.\n\n\"High-performance vehicles are an ideal proving ground for neural surrogate\nmodels, but the potential impact goes well beyond the racetrack,\" said\nFabrizio Arbucci, Dallara CIO. \"More efficient designs could benefit all\ntransport categories, from passenger vehicles to aircraft, and even other\nindustries at the mercy of aerodynamics. Even a one to two percent reduction\nin drag across passenger vehicles could add up to meaningful fuel-efficiency\ngains at scale.\"\n\nInitial results of the collaboration are detailed in a preprint study\n(https://arxiv.org/abs/2604.18491) published at arXiv on April 20, 2026. This\nwork builds upon a new AI model developed by IBM, called Gauge-Invariant\nSpectral Transformers (GIST), which was described in a March 17th preprint\nstudy (https://arxiv.org/abs/2603.16849). IBM and Dallara presented these and\nother advances in applying AI to complex physical systems on April 26, 2026,\nat the International Conference on Learning Representations in Rio de Janeiro.\n\nAbout IBM\n\nIBM is a leading provider of global hybrid cloud and AI, and consulting\nexpertise. IBM helps clients in more than 175 countries capitalize on insights\nfrom their data, streamline business processes, reduce costs and gain the\ncompetitive edge in their industries. Thousands of governments and corporate\nentities in critical infrastructure areas such as financial services,\ntelecommunications and healthcare rely on IBM's hybrid cloud platform and Red\nHat OpenShift to affect their digital transformations quickly, efficiently and\nsecurely. IBM's breakthrough innovations in AI, quantum computing,\nindustry-specific cloud solutions and consulting deliver open and flexible\noptions to our clients. All of this is backed by IBM's long-standing\ncommitment to trust, transparency, responsibility, inclusivity and service.\nVisit www.ibm.com for more information.\n\nAbout The Dallara Group\n\nFounded in 1972 by Giampaolo Dallara, Dallara is a world-leading manufacturer\nspecializing in the design, engineering, and production of racing cars for\ntop-tier motorsports. The firm has expanded globally from Italy's Motor Valley\nwith a US Dallara Experience Hub in Speedway, Indiana. Dallara is the sole\nbuilder of racing cars for the IndyCar, Indy NXT, Formula 2, Formula 3 and\nSuper Formula Championships, it also supplies Cadillac and BMW in both the WEC\nand IMSA championships. The expertise acquired in racing is regularly used\nboth in the automotive world through consultancies and production services,\nwith also Dallara branded products like the Dallara Stradale and Dallara(EXP)\nand more recently in aerospace. Visit www.dallara.it for more information.\n\nMedia Contacts\n\nIBM Research\nDave Mosher\nIBM Research Communications\ndave.mosher@ibm.com\n\nAshley Peterson\nIBM Research Communications\nashley.peterson@ibm.com\n\nDallara\nAndrea Vecchi\nDallara Marketing & Communications Director\na.vecchi@dallara.it\n\n \n\nSOURCE IBM\n\n\n\nPhoto: \nhttps://mma.prnewswire.com/media/2969315/IBM_and_Dallara_CFD_vs_GIST_modeling.jpg\nhttps://mma.prnewswire.com/media/2319830/IBM_LOGO_1.jpg\n\nCopyright (c) 2026 PR Newswire Association,LLC. All Rights Reserved."},"type":"article","timestamp":"2026-04-30T10:00:04.723244003Z","server_sent_at_ms":1777543204723},"received_at":"2026-04-30T10:00:04.776Z","source_url":null},"analysis":{"id":"11086","press_release_id":"14401","analysis_json":{"industry":{"label":"Software & Services","sector":"Information Technology"},"redFlags":[],"eventType":"partnership","narrative":"IBM is partnering with Dallara to develop physics-based AI foundation models for high-performance vehicle design, significantly reducing simulation times.\n\nInitial tests using IBM's GIST model cut aerodynamics evaluation from hours to seconds while maintaining accuracy comparable to traditional methods.\n\nThe collaboration will also explore integrating quantum computing to further enhance simulation fidelity for complex engineering challenges.","sentiment":"bullish","agentHooks":{"shouldPost":false,"suggestedAngle":"IBM validates AI and quantum research capabilities through Dallara partnership, slashing design simulation times."},"keyFigures":{},"quotedText":"Some of the hardest engineering challenges come down to accurately simulating the physical world","namedEntities":{"people":[{"name":"Andrea Pontremoli","role":"Dallara CEO"},{"name":"Alessandro Curioni","role":"IBM Fellow and VP, Algorithms and Applications, IBM Research"},{"name":"Fabrizio Arbucci","role":"Dallara CIO"},{"name":"Giampaolo Dallara","role":"Founder"}],"products":["Red Hat OpenShift","Gauge-Invariant Spectral Transformers (GIST)","Dallara Stradale","Dallara(EXP)"],"companies":[{"name":"IBM","ticker":"IBM","relationship":"partner"},{"name":"The Dallara Group","relationship":"partner"},{"name":"Red Hat","relationship":"subsidiary"}],"dollarAmounts":[]},"materialImpact":{"score":2,"reasoning":"The announcement highlights a strategic R&D partnership validating IBM's leadership in AI and quantum computing. While technically significant, it is non-monetary with no immediate revenue impact or guidance change."},"tickerRelevance":{"others":[],"primary":"IBM"},"globalImportance":25,"audienceRelevance":35,"eventTypeSecondary":["product_launch"],"importanceComponents":{"tickerTier":"Mega-cap (IBM)","eventGravity":"Strategic Partnership/R&D Validation","sectorWeight":"Tech/Quantum Innovation","householdBrandBoost":10}},"event_type":"partnership","event_type_secondary":["product_launch"],"sentiment":"bullish","material_impact_score":2,"narrative":"IBM is partnering with Dallara to develop physics-based AI foundation models for high-performance vehicle design, significantly reducing simulation times.\n\nInitial tests using IBM's GIST model cut aerodynamics evaluation from hours to seconds while maintaining accuracy comparable to traditional methods.\n\nThe collaboration will also explore integrating quantum computing to further enhance simulation fidelity for complex engineering challenges.","key_figures":{},"named_entities":{"people":[{"name":"Andrea Pontremoli","role":"Dallara CEO"},{"name":"Alessandro Curioni","role":"IBM Fellow and VP, Algorithms and Applications, IBM Research"},{"name":"Fabrizio Arbucci","role":"Dallara CIO"},{"name":"Giampaolo Dallara","role":"Founder"}],"products":["Red Hat OpenShift","Gauge-Invariant Spectral Transformers (GIST)","Dallara Stradale","Dallara(EXP)"],"companies":[{"name":"IBM","ticker":"IBM","relationship":"partner"},{"name":"The Dallara Group","relationship":"partner"},{"name":"Red Hat","relationship":"subsidiary"}],"dollarAmounts":[]},"model_name":"glm-4.7","prompt_hash":"sha256:1fc968c3ac7f7ebb","schema_hash":"sha256:1f8af1196c7db48c","created_at":"2026-04-30T10:09:02.172Z","global_importance":25,"audience_relevance":35,"importance_components":{"tickerTier":"Mega-cap (IBM)","eventGravity":"Strategic Partnership/R&D Validation","sectorWeight":"Tech/Quantum Innovation","householdBrandBoost":10}},"durationMs":30949,"modelName":"glm-4.7"}}