Lenovo is charting its personal course in the direction of a future outlined by synthetic intelligence and sustainability– and the tech large has chosen Method 1 racetrack as its innovation floor.
The corporate’s collaboration with Method 1 is evolving right into a crucial expertise partnership, underpinning the game’s more and more complicated information and AI calls for.
Every race weekend entails the switch of as much as 500 terabytes of knowledge between the racetrack and F1’s UK-based Media and Expertise Centre. This setup then helps the broadcasting channels, streaming platforms resembling F1TV and Fancode dwell broadcasting, group decision-making, and technical operations.
On-site {hardware}, together with AI-ready ThinkStation workstations and AIPCs, are examined beneath excessive racing circumstances to make sure efficiency in high-vibration, dusty, and temperature-variable environments.
These methods are designed to help AI purposes starting from native inferencing to safe voice identification, enabling sooner decision-making and lowered reliance on cloud-based computing. Whereas the partnership displays Lenovo’s ambition to guide in hybrid AI infrastructure, it additionally highlights Method 1’s drive to modernise and decarbonise its operations forward of its net-zero 2030 goal.
So, is Lenovo constructing its personal AI stack?
Not in the best way some Huge Tech giants are—however Lenovo is carving a singular area via its Hybrid AI Benefit, an end-to-end ecosystem that spans from {hardware} to inference-layer administration.
“We ourselves are usually not investing in growing our LLM, however then we shall be partnering with just about all the main LLM Builders after which we could have our personal AI libraries that are extra use instances, agent administration platform, and companies wrapper. So sure, to a sure extent we personal our personal resolution, Sumir Bhatia, President of Lenovo’s Asia Pacific Infrastructure Options Group, instructed ETAuto in an unique dialog.
This technique permits Lenovo to supply modular, scalable options for companies of all sizes. Enterprises can choose from a library of fashions and options tailor-made to industry-specific use instances—like safety operations, IT operations, or customer support—with no need to construct or practice fashions from scratch.
“Leveraging companions’ infrastructure and utilizing small language modules brings IT ops, safety ops software program collectively, which makes integration quite a bit simpler,” added Bhatia.
Vitality Effectivity on the Core
As AI fashions develop into more and more complicated, the demand for computational energy—and consequently, vitality consumption—has surged. Recognising this problem, Lenovo has invested in revolutionary options to reinforce vitality effectivity in its AI infrastructure.
To align with F1’s broader targets round operational effectivity and sustainability, Lenovo is contemplating deploying its Neptune liquid-cooling technology–which can cut back information centre energy consumption by as much as 40 per cent–at F1’s UK hub.
The Neptune liquid cooling system, which utilises heat water to chill servers, eliminates the necessity for conventional chilled water methods. This method not solely reduces vitality consumption but in addition permits for the repurposing of extra warmth to heat buildings in colder climates, contributing to total sustainability efforts.
Bhatia emphasised the importance of vitality effectivity, stating, “It can save you as much as 40 per cent energy by leveraging Neptune. It may convey as much as virtually 100 per cent effectivity in eradicating warmth.”
Clearly, Lenovo’s AI technique displays a holistic method that balances technological innovation with real-world applicability and sustainability. By investing in energy-efficient infrastructure, growing sensible AI use instances, and forging world partnerships, the corporate is positioning itself as a key participant within the evolving panorama of AI infrastructure
