
Mercedes-AMD-Microsoft vs McLaren-Intel-Google: Formula 1 is a high-tech war
Just hours ago, Intel and McLaren announced a new partnership that further confirms a trend that has become impossible to ignore: Formula 1 is no longer simply a showcase for logos displayed on car liveries, but one of the most coveted global technology laboratories for the world’s biggest corporate giants.
Intel’s return to the Formula 1 paddock, almost two decades after its previous involvement with BMW Sauber, is therefore far more than a simple marketing move. It is another clear signal of Formula 1’s new economic landscape: yesterday it was cigarettes and tobacco brands, today it is cloud computing, artificial intelligence and data infrastructure. The major difference is substantial—modern technology partners are not just paying for visibility on the bodywork; they are becoming directly embedded in the processes through which Formula 1 cars are designed, built, simulated and raced.
Intel joins McLaren’s growing technology ecosystem
The computing giant will become McLaren’s official compute partner, supplying Intel Xeon processors and Intel Core Ultra technology to support the enormous workloads associated with development, simulation and data processing. It is a collaboration that perfectly illustrates how dramatically modern Formula 1 has evolved.
Thirty years ago, the paddock was dominated by major tobacco brands. Today, Formula 1 has become prime territory for technology giants, software companies, artificial intelligence leaders, cloud infrastructure providers and data analytics specialists.
A quick look at the partner lists across the grid reveals a striking reality: virtually every top Formula 1 team now works closely with major global companies specialising in cloud computing, AI, cybersecurity, supercomputing or digital infrastructure.
McLaren currently collaborates with Google Cloud, Dell, Cisco, Splunk and now Intel. Red Bull relies on Oracle and Siemens. Mercedes works with Microsoft, AMD and CrowdStrike. Ferrari has partnerships with IBM, AWS and HP. These are companies worth hundreds of billions of dollars, all viewing Formula 1 as a live global technology testbed.
Formula 1 teams now operate like advanced technology companies
Modern Formula 1 teams increasingly function less like traditional racing operations and more like highly advanced technology enterprises.
Technology partners now play direct roles in vehicle design, simulation and performance monitoring. They help manage cloud infrastructure, supercomputing systems, telemetry platforms, CFD simulations, digital twins and predictive analytics tools that can directly influence race weekend strategy.
In many cases, these systems have evolved far beyond simple data collection.
Some partners now develop platforms capable of processing millions of strategic simulations, supporting setup decisions, predicting tyre degradation, estimating energy consumption, identifying manufacturing anomalies and monitoring component reliability. Modern Formula 1 has become a software-driven ecosystem where computational power and data interpretation can directly shape competitiveness.
The growing influence of artificial intelligence
Artificial intelligence, in particular, is taking on an increasingly central role.
Advanced algorithms are now used to process enormous volumes of real-time data, simulate race scenarios, predict tyre degradation, estimate energy deployment windows and identify optimal pit stop strategies. In some cases, these platforms are becoming genuine decision-making tools for race engineers and strategists.
It is no surprise, then, that McLaren described Intel as a crucial part of its wider technology ecosystem.
“Performance in IndyCar and Formula 1 is driven by technology, and our partnership with Intel strengthens our ability to innovate at scale,” McLaren CEO Zak Brown explained. “Intel has already been an important part of our technology ecosystem, and their leadership in computing will play a crucial role in how we design, build and race our cars.”
Those comments perfectly summarise the evolution of modern Formula 1. Today, competitive advantage is no longer created purely through aerodynamics or engine performance, but also through the ability to process information faster and more effectively than rival teams.
Intel CEO Lip-Bu Tan also highlighted the strategic value of the partnership.
“Formula 1 and IndyCar represent some of the most important proving grounds for high-performance computing. Intel is proud to become McLaren Racing’s compute partner and to join a team built on precision, speed and innovation. Together, we will push beyond the limits of what is possible, transforming data into competitive advantage.”
The partnership will also extend to Arrow McLaren’s IndyCar programme and McLaren’s sim racing activities, with Intel branding appearing both on race cars and within the F1 Sim Racing Championship setup.
Formula 1’s major technology partnerships in 2026
Here is an overview of some of the most significant verified technology partnerships currently active across the Formula 1 paddock.
| Team | Technology partners | Focus areas |
|---|---|---|
| McLaren | Google / Google Cloud, Intel, Dell Technologies, Splunk, Cisco, Salesforce, Smartsheet, Freshworks, Trend Micro | Cloud computing, generative AI, high-performance computing, data infrastructure, cybersecurity, enterprise software, digital collaboration |
| Ferrari | HP, IBM, AWS, DXC Technology, HCLSoftware, Bitdefender, Genesys, WHOOP | AI devices, hybrid cloud, artificial intelligence, human-machine interface, enterprise software, cybersecurity, customer experience, biometric and human performance data |
| Red Bull | Oracle, Siemens, Hexagon | Cloud computing, AI, strategic simulations, AI strategy agents, digital twin technology, engineering design, digital manufacturing, metrology |
| Mercedes | Microsoft, CrowdStrike, AMD, HPE, SAP, TeamViewer, Snapdragon, G42, Akkodis, Meta AI | Cloud, AI, simulation, cybersecurity, high-performance computing, enterprise software, remote collaboration, semiconductor technology, engineering services |
| Aston Martin | Cognizant, CoreWeave, SentinelOne, ServiceNow, NetApp, Cohere | Enterprise AI, AI cloud services, AI-driven cybersecurity, workflow management, data infrastructure, language models, automation |
| Alpine | Cato Networks, Indra Group | Network security, SASE, AI transformation, IT infrastructure, digital systems |
| Williams | Atlassian, Anthropic / Claude, VAST Data, Keeper Security, Globant | Collaborative software, generative AI, data infrastructure, high-performance computing, privileged access management, digital development |
| Haas | Toyota Gazoo Racing, Orion180, IC Markets | Technical support, design, manufacturing, simulator work, insurtech, digital financial platforms |
| Racing Bulls | Dynatrace, Confluent, RebelDot, Roboze, Siemens, Ford | Observability, performance analytics, data streaming, software development, additive manufacturing, digital design, power unit collaboration |
| Audi | ElevenLabs, NinjaOne, Extreme Networks, Camozzi, Revolut | Audio AI, endpoint management, SaaS backup, IT networks, industrial automation, mechatronics, fintech |
| Cadillac | IFS, Core Scientific, América Móvil, TWG AI | Industrial AI software, ERP, supply chain, manufacturing, data centres, connectivity, team-focused AI applications |



Leave a Reply