
Big Tech partnerships have become an essential part of modern Formula 1, supporting almost every stage of a car’s development and operation. From aerodynamic design and component production to race simulations, strategy and cybersecurity, digital systems now contribute directly to how efficiently teams work and how successfully they compete.
Formula 1 sponsorships can broadly be divided into four main categories: consumer, industrial, digital technology and financial. Consumer agreements normally involve brands whose products or services do not directly contribute to the performance of the cars. Industrial partnerships, by contrast, often provide technologies, equipment or expertise that support team operations or influence car development either directly or indirectly.
The digital technology category is particularly significant because of its rapid growth across the grid. Information technology services and platforms have become indispensable throughout the complete lifecycle of a Formula 1 car, covering design, prototyping, manufacturing with computer numerical control machinery, simulation and strategic decision-making.
Predictive models can process thousands of pieces of information to identify the most effective strategic option in real time. As a result, Formula 1’s digital competition now extends far beyond the software visible on the pit wall during a Grand Prix.
How digital technology supports every Formula 1 department
The current era of Formula 1 is defined by the widespread use of information technology. For many years, the design, calculation, simulation and prototyping of individual car components have been supported by specialised software.
These tools include CAD, or computer-aided design, CFD, meaning computational fluid dynamics, and CAE, or computer-aided engineering. Together, they allow engineers to create virtual components, assess structural behaviour and simulate aerodynamic performance before committing resources to physical production.
Every department within a Formula 1 team now relies on continuously evolving digital platforms. In recent years, demand has increased particularly strongly in four areas:
- High-performance computing and cloud computing
- Generative artificial intelligence
- Cybersecurity
- High-performance connectivity across different locations
These technologies are not isolated from one another. Computing infrastructure enables complex simulations, connectivity allows international departments to collaborate, artificial intelligence helps teams interpret information, and cybersecurity protects the data generated throughout the process.
Why high-performance computing is essential in Formula 1
Computing capacity has been a fundamental Formula 1 resource for more than 20 years. One of the earliest major applications of high-performance computing, commonly known as HPC, was in computational fluid dynamics.
In simple terms, CFD uses mathematical models to simulate the movement of air and liquids, as well as the effects those flows have on their surrounding environment. In Formula 1, that can mean studying airflow over the external surface of a car or examining the behaviour of fluids within its internal systems.
CFD has become particularly valuable because it allows teams to investigate aerodynamic concepts before manufacturing a component or testing it physically. Its importance is also reflected in the restrictions placed on Formula 1 CFD and wind-tunnel development, which limit the resources available to each team.
Modern HPC systems are mainly used in Formula 1 across three major areas.
CFD and aerodynamic simulation
Computational fluid dynamics represents the most intensive use of supercomputers within Formula 1. It replaces a significant proportion of extremely expensive wind-tunnel testing by mathematically simulating how air flows around and through a car.
High-fidelity simulations can model hundreds of millions of individual computational cells. Engineers use those calculations to study complex aerodynamic structures, including the formation, movement and interaction of vortices around different parts of the car.
These virtual tools do not eliminate physical wind-tunnel work, but they allow teams to assess a much larger number of ideas before selecting the most promising solutions for further development. Under the 2026 Formula 1 aerodynamic regulations, controlling airflow consistently across the entire car has become especially important.
Development of the 2026 Formula 1 power units
HPC clusters also play a major role in developing the new-generation hybrid power units introduced in 2026. These engines operate with 100 per cent sustainable fuel and feature a power contribution divided almost equally between the internal-combustion engine and the electrical system.
Teams and power-unit manufacturers use high-performance computing to design combustion chambers and model the complex energy flows involving the battery and MGU-K. The objective is not simply to generate power, but to manage recovery and deployment efficiently throughout every part of a lap.
This new balance between combustion and electrical power has made energy management one of the most important areas of performance. It is also changing driving techniques, with drivers adapting their gear selection and braking approach to improve energy harvesting under the 2026 power-unit rules.
Real-time Formula 1 race strategy
During a race weekend, HPC systems located at team factories or operating through cloud infrastructure process telemetry transmitted in real time by more than 300 sensors fitted to each car.
Teams can run millions of stochastic simulations using methods such as Monte Carlo analysis. These simulations help predict tyre degradation, calculate the most effective pit-stop window and assess how a race could change following the appearance of the Safety Car.
Rather than producing a single guaranteed answer, the software evaluates large numbers of possible scenarios and estimates the probability of different outcomes. Strategists can then compare those results with live track conditions, rival behaviour and feedback from the driver.
Why cybersecurity has become a priority for F1 teams
Cybersecurity is another discipline in which Formula 1 teams are investing far more heavily than in the past. Any device connected to the internet can potentially be attacked, making the protection of networks, communications and intellectual property a critical operational requirement.
Teams therefore implement segregated networks and use systems capable of monitoring data traffic entering and leaving their corporate infrastructure. This is particularly important in a sport where organisations develop proprietary technologies and must protect confidential engineering information.
Behind Formula 1’s speed, glamour and intense competition, the principal cyber threats are familiar to security professionals across other industries.
Intellectual property theft
The theft of intellectual property has a long history in motorsport. Engineers improperly taking possession of sensitive material represent its human form, but the digital version creates a constant risk.
Potential vulnerabilities include reused login credentials, incorrectly configured cloud-sharing systems, data being copied without detection and temporary access permissions that are never withdrawn. Each weakness can expose valuable technical or commercial information.
Ransomware attacks
Ransomware becomes especially dangerous in Formula 1 because time can be used as a weapon. A team locked out of essential systems only hours before qualifying would face an immediate choice between responding to the attackers and potentially losing an entire race weekend.
The tightly controlled schedule of a Grand Prix means that even a short disruption can affect simulations, engineering analysis, component preparation or strategic planning.
Social engineering and spear phishing
Social engineering attacks can exploit the predictable routines and public profile of Formula 1. Race calendars, travel arrangements, sponsor announcements and internal programmes can all provide useful information for targeted spear-phishing campaigns.
Travelling personnel who connect through airports and hotels face additional exposure. Credentials or active sessions may be intercepted or compromised and later used to gain access to more sensitive team environments.
High-performance connectivity links factories and race teams
Fast and reliable connectivity is indispensable for Formula 1 organisations whose departments operate across several countries. Audi, for example, relies on international working groups that must collaborate through concurrent engineering, with different specialists contributing to the same development process at the same time.
High-performance connections are equally important during a Grand Prix weekend. They allow teams to create an extended operational structure combining the personnel at the circuit with engineers working from remote garages and factory-based support rooms.
Data collected from the car can be transmitted to specialists thousands of miles away, analysed and returned to the trackside operation within a very short period. This makes the quality and reliability of the digital connection an important part of race-weekend performance.
Why Formula 1’s Big Tech partnerships are now decisive
Digital alliances in Formula 1 are no longer conventional sponsorship arrangements based primarily on brand visibility. Technology companies increasingly provide the computing resources, software platforms, connectivity and security systems on which teams depend.
The relationship benefits both sides. Formula 1 teams gain access to advanced technologies and specialist expertise, while technology companies can demonstrate their products in one of the most demanding real-time engineering environments in the world.
From CFD simulations and 2026 power-unit development to race strategy, remote working and the defence of intellectual property, digital infrastructure now touches almost every competitive area of a Formula 1 organisation.
The modern technology race is therefore fought not only through aerodynamics, engines and mechanical design, but also through computing power, artificial intelligence, secure networks and the ability to process information more effectively than rival teams. In Formula 1, Big Tech partnerships have become part of the competitive package itself.
| Team | Technology category | Partners |
|---|---|---|
| Ferrari | High-performance hardware | HP (Hewlett-Packard) |
| Artificial intelligence and data analytics | IBM, AWS | |
| ICT infrastructure and connectivity | DXC Technology | |
| Cybersecurity and data protection | Bitdefender | |
| McLaren | Infrastructure and artificial intelligence | Google, Dell Technologies |
| Processors and high-performance computing | Intel, Groq | |
| Security and data management | Salesforce and MuleSoft, Rubrik and Trend Micro, Cisco and Splunk | |
| Mercedes | Enterprise cloud and artificial intelligence | Microsoft, G42 |
| High-performance computing and edge computing | AMD, Hewlett Packard Enterprise | |
| Workflow collaboration and the metaverse | Meta and WhatsApp, TeamViewer, SAP | |
| Cybersecurity and cloud infrastructure | CrowdStrike, Vercel | |
| Red Bull | Cloud computing and artificial intelligence | Oracle |
| Precision-engineering hardware and advanced computing | Hexagon, Hewlett Packard Enterprise | |
| Business operations and engagement | Oracle Fusion Cloud | |
| Aston Martin | Processor architecture and AI computing | Arm, CoreWeave |
| Generative artificial intelligence and IT services | Cognizant, Cohere, Cognition | |
| Data infrastructure, workflow and cybersecurity | NetApp, ServiceNow, Zscaler, Xerox | |
| Alpine | Artificial intelligence and data analytics | Indra Group, data.ai |
| Network connectivity, cloud and SASE infrastructure | Cato Networks | |
| Complex engineering and management systems | AtkinsRéalis, Avature | |
| Cybersecurity and perimeter protection | Arctic Wolf | |
| Racing Bulls | Data streaming and real-time analysis | Confluent, Salesforce |
| Observability and operational artificial intelligence | Dynatrace, Neural Concept | |
| Digital strategy and software development | RebelDot | |
| Audi | Digital financial infrastructure | Revolut |
| IT automation and network operations | NinjaOne, Perk | |
| Generative artificial intelligence and audio | ElevenLabs | |
| Digital assets | Nexo | |
| Haas | Artificial intelligence and cybersecurity | Exein, Mphasis |
| SASE network and cloud connectivity | CommScope and RUCKUS Networks, NeverMile, Infobip | |
| Williams | Workflow and collaboration software | Atlassian |
| Generative AI and digital transformation | Anthropic, Brillio, Globant | |
| Data management and cybersecurity | VAST Data, Keeper Security | |
| Cadillac | Artificial intelligence and model development | TWG AI |
| Software infrastructure and IT complexity management | IFS | |
| High-performance computing and data centres | Core Scientific | |
| Connectivity and telecommunications | Claro / Telcel |







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