TL;DR:
- Ducati Lenovo Team unveils technology lineup for 2024 MotoGP season in Italy.
- Lenovo’s partnership with Ducati since 2018 focuses on data-driven performance improvements.
- Lenovo’s ThinkAgile hyperconverged infrastructure to enhance on-track data analysis.
- AI-optimized infrastructure will support deep learning and machine learning for bike performance.
- Ducati Corse leverages Lenovo’s technology for remote data analysis and collaboration.
- Lenovo’s High-Performance Computing technology aids aerodynamics and fluid dynamics simulations.
- Cloud Solution Provider agreement with Lenovo ensures adaptability to peak demands.
- Lenovo’s workstations and PCs improve operations, collaboration, and data analysis.
- Lenovo’s ThinkStation P360 Ultra workstation facilitates on-track land surveys with an autonomous robot.
- Claudio Domenicali, CEO of Ducati Motor Holding, anticipates AR, VR, and sustainability in the future.
Main AI News:
In the fast-paced world of MotoGP, where every fraction of a second counts, the Ducati Lenovo Team is gearing up for another exhilarating season. At the recent “Champions on the track” event in Madonna di Campiglio, Italy, Lenovo unveiled its cutting-edge technology lineup that will be instrumental in the team’s quest for the 2024 championship title.
After a triumphant 2023 season, which saw Francesco Bagnaia secure the MotoGP Riders’ World Championship for the second consecutive year, the team is poised for even greater achievements. Luca Rossi, President of Lenovo’s Intelligent Devices Group, expressed the team’s enthusiasm, emphasizing their commitment to pushing the boundaries of performance and technology. Rossi stated, “The goal is not only to fight for the title but also to make technical advancements developed for the track accessible to all, including within Ducati’s portfolio of street bikes.”
As the Technology Partner of Ducati Corse since 2018, Lenovo plays a pivotal role in transforming data into actionable insights, enabling complex simulations, and facilitating strategic decision-making in the high-stakes world of MotoGP.
In a sport where data-driven decisions can make or break a race, Ducati Corse collects a staggering 100GB of data during each race weekend from their eight Ducati Desmosedici GP bikes, each equipped with approximately 50 sensors. To elevate their on-track data analysis capabilities for the 2024 season, the team will introduce the Lenovo ThinkAgile hyperconverged infrastructure (HCI) in their garage. This powerful platform will empower the team to swiftly analyze vast quantities of data, ensuring mobility and reliability, even in challenging environments, thanks to the Lenovo ThinkSystem SE350 edge servers.
This AI-optimized infrastructure will fuel Ducati’s deep learning and machine learning tools, aimed at enhancing the performance, reliability, and safety of their racing bikes. It will also enable them to analyze the data collected from the bike sensors and tracks, comparing it with riders’ sensations.
Data analysis isn’t confined to the race track alone; Ducati Corse leverages the Ducati Lenovo Remote Garage to receive real-time data from their engineers in Borgo Panigale (Bologna). This allows for complex analysis and seamless collaboration to optimize the bikes’ settings before they hit the track. The Ducati Lenovo Remote Garage room has been fully renovated with a range of Lenovo hardware, further enhancing productivity and remote collaboration.
At Ducati’s headquarters, aerodynamics and fluid dynamics simulations are powered by Lenovo’s High-Performance Computing (HPC) technology, utilizing Lenovo ThinkSystem SD530, SR630, and SR650 servers. Lenovo’s HPC infrastructure plays a crucial role in innovating racing bikes and enhancing on-track performance. It features built-in AI acceleration for edge workloads and optimization for faster data analytics. Additionally, to address the evolving demands of a fast-paced sport, Ducati Corse has entered into a Cloud Solution Provider (CSP) agreement with Lenovo, ensuring the availability of additional power and services via a public cloud service during unpredictable peak times.
Lenovo’s wide array of workstations, PCs, tablets, and monitors is integral to the organization’s success, facilitating operations, collaboration, and data analysis at every level, from headquarters to the race track. Lenovo ThinkPad P1 mobile workstations are in the hands of electronic engineers right up to the starting grid, ensuring the final bike setup is perfected just moments before the race.
But the innovations don’t stop there. In the upcoming 2024 season, the Ducati Lenovo Team will introduce a groundbreaking solution for on-track land surveys, powered by the Lenovo ThinkStation P360 Ultra workstation. An autonomous-driving robot developed by Ducati Corse engineers, equipped with a wide array of inertial and optical sensors, will traverse the track at the beginning of each GP weekend, creating a highly accurate digital replica of the circuit. The Lenovo ThinkStation P360 Ultra workstation will enable Ducati Corse to collect and analyze a remarkable 200GB of data per circuit, providing up to 2.6 million data points every second from LiDAR (Light Detection And Ranging) sensors alone.
Claudio Domenicali, CEO of Ducati Motor Holding, shared his excitement for the 2024 MotoGP season, highlighting the strong partnership with Lenovo and their shared commitment to excellence on and off the track. Domenicali also teased the possibilities offered by AR and VR technologies for the future, as well as Lenovo’s services to support sustainability goals and adapt to the ever-evolving world of motorsports.
Innovation is the driving force behind the collaboration between Ducati Corse and Lenovo, and their shared dedication to pushing the boundaries of technology and performance ensures that they remain at the forefront of MotoGP racing.
Conclusion:
Lenovo’s partnership with Ducati Corse in the 2024 MotoGP season signifies the growing importance of technology and data analysis in the world of motorsports. This collaboration not only enhances on-track performance but also sets a benchmark for how technology can revolutionize the racing industry, with potential implications for the broader market in terms of data-driven decision-making, remote collaboration, and the integration of AI and cloud solutions in high-performance sports.
