logo
McLaren Formula E team set to close without buyer

McLaren Formula E team set to close without buyer

Yahooa day ago
McLaren's Formula E team is set to be closed down at the end of the current season as efforts to find a buyer for the outfit have proven unsuccessful, Motorsport.com understands.
Following its decision to enter the World Endurance Championship with a Hypercar chassis for 2027, McLaren elected to withdraw from Formula E after three seasons in the all-electric championship and redirect its resources into its sportscar project.
Advertisement
As such, team principal Ian James had been looking to secure a buyer to preserve the team's position in the championship, allowing it to remain as an outfit under the name of another brand.
Despite links to a potential buyout from other manufacturers looking to join Formula E, with Hyundai one of the brands rumoured to be interested, the team has been unable to find a buyer for the team.
It is understood that the team will close down in September following the end of the 2024-25 Formula E season.
Sam Bird, NEOM McLaren Formula E Team & Jake Hughes, McLaren celebrates his win with the team
Sam Bird, NEOM McLaren Formula E Team & Jake Hughes, McLaren celebrates his win with the team
This had been the second time that the team was up for sale; having initially started as Mercedes, the team sold its entry and team to McLaren - which relocated it from the Mercedes High Performance Powertrains facility in Brixworth to a unit at Bicester Heritage.
Advertisement
The team also pivoted from a manufacturer entity to a customer team for the first year of the Gen3 rules in 2022-23, taking on Nissan powertrains and continuing that relationship during its duration in the championship.
Following the inability to find a buyer, the team's entry will return to Formula E Holdings.
Read Also:
Jakarta E-Prix podium reinstated for Sebastien Buemi after penalty overturn
This leaves drivers Sam Bird and Taylor Barnard looking for potential seats elsewhere on the grid following the demise of the McLaren team. Barnard has been a breakout star this season so far, and the British rookie is likely to be a target for those currently with available seats for next season - the last season in the Gen3 cycle.
Advertisement
Bird may also be an option for a team searching for experience; the Briton has raced in every Formula E season having started with Virgin Racing before moving to Jaguar. He has been with McLaren for the past two seasons, taking the team's only win so far at Sao Paulo last year.
To read more Motorsport.com articles visit our website.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Why Germany's wins at Euro 2025 have been unconvincing despite ‘home advantage'
Why Germany's wins at Euro 2025 have been unconvincing despite ‘home advantage'

New York Times

time40 minutes ago

  • New York Times

Why Germany's wins at Euro 2025 have been unconvincing despite ‘home advantage'

A crowd of 34,165 at St. Jakob-Park in Basel, Switzerland, watched Germany defeat Denmark 2-1, setting a record attendance for a match not involving the host nation at the Women's European Championship. But it didn't explain the full picture. The stadium in Basel is a mere 10-minute drive from the German border, and as thousands of supporters marched towards the stadium 90 minutes before kick-off, it was clear this was a home match for Germany. Some of those fans would be home in a couple of hours. Even those from Hamburg, in the north of Germany, can get a direct train home tomorrow morning. Advertisement 'Today it was very, very special to be in that situation, and to be involved in this,' said manager Christian Wuck after the game. 'And that's what we tell the players: enjoy every single second of this tournament, because you don't have this type of atmosphere often. In Basel, I heard there were lots of German fans in the town centre today and that the atmosphere was really good. The fan march is really special.' A post shared by FOX Soccer (@foxsoccer) German support was audible, too. The German fans cheered the goals in the 56th and 66th minutes, booed when the video assistant referee (VAR) waved off an early goal for being offside, and banged drums throughout. But the noise grew most noticeably when Germany won possession and threatened to counter-attack. Those fans know that it's at those moments, the moments of transition, when their side are at their most dangerous. Germany's best performers thus far have been the two wide players, Jule Brand on the right and Klara Buhl on the left. They linked up seamlessly for what they thought was an opener, only for a delayed VAR decision to rule it off due to a team-mate who was interfering with the goalkeeper's line of sight. Brand and Buhl are technically sharp but also physically imposing. They dribble forward in a menacing, determined manner. It helps, too, that between them they have Lea Schuller, always peeling off into the channels hopefully and finishing with confidence, as she's done twice in as many games thus far. In Germany's 2-0 win over Poland and the 2-1 win over Denmark, however, the team has not been convincing victors. In midfield, Germany are combative rather than elegant. Sjoeke Nusken is a peculiar midfielder who does her best work when running into the opposition's box. She also scored a calm penalty to equalise here. Her midfield colleague Elisa Senss is a useful midfield terrier, snapping into tackles and holding her position. Advertisement That largely does the job against sides of this calibre, but there's also an absence of guile in possession. No-one like Melanie Leupolz, one of many players who are no longer part of this German side since the disappointment at World Cup 2023, when Germany were eliminated at the group stage, remains. Leupolz recently retired from football altogether at the age of just 31. Germany's new generation features an impressive number of quality attackers, but it tends to be defences that win major tournaments. They've only conceded once at this tournament, but they certainly give opponents chances; Denmark had five and Poland had 10. Left-back Sarai Linder spent the second half popping up in inside-left positions, allowing Buhl to stay wide. Carlotta Wamser deputised well for Giulia Gwinn, the injured captain who had to leave the tournament early after an injury against Poland — Germany's players wore white wristbands as a tribute to her on Tuesday — but she's a converted attacker rather than a solid defender. The centre-backs are often exposed; at the start of the second half, Rebecca Knaak had to stop a promising Denmark break with an incredibly cynical foul. 'We have quick players up front,' said Denmark manager Andree Jeglertz after the game. 'Germany are a very good team but at transitions, if you challenge their backline, you will have opportunities, which I think we did, especially in the first half.' That said, the only heart-stopping moments for the 'home' German fans were, when 2-1 up, goalkeeper Ann-Katrin Berger twice performed drag-backs past opponents with the ball at her feet. In his post-match press conference, Wuck was asked if he was happy with that. 'No,' he replied flatly. 'That's all I can say right now. But of course I will discuss it with her. We have to find different solutions, or I will not grow old.' Maybe Germany are just gathering momentum. Their toughest test of the group stage will come in Zurich on Saturday against Sweden, with the winner finishing top of Group C. But finishing top still won't give them an easy draw in the quarter-finals, as they'll face the runners-up from Group D, likely the Netherlands or England, the past two winners of this competition, who Germany used to defeat routinely. Those two sides were both able to count upon home advantage in 2017 and 2022, respectively. The 2025 final is back in Basel. If Germany get there, they'll be the ones with home advantage.

Axelera AI Accelerators Smoke Competitors In Machine Vision Research Study
Axelera AI Accelerators Smoke Competitors In Machine Vision Research Study

Forbes

timean hour ago

  • Forbes

Axelera AI Accelerators Smoke Competitors In Machine Vision Research Study

Axelera CEO Fabrizio Del Maffeo Holds The Company's PCIe AI Accelerator As AI-accelerated workloads proliferate across edge environments—from smart cities to retail and industrial surveillance—choosing the right inference accelerator has become a mission-critical decision for many businesses. In a new competitive benchmark study conducted by our analysts at HotTech Vision and Analysis, we put several of today's leading edge AI acceleration platforms to the test in a demanding, real-world scenario: multi-stream computer vision inference processing of high-definition video feeds. The study evaluated AI accelerators from Nvidia, Hailo, and Axelera AI across seven object detection models, including SSD MobileNet and multiple versions of YOLO, to simulate a surveillance system with 14 concurrent 1080p video streams. The goal was to assess real-time throughput, energy efficiency, deployment complexity and detection accuracy of these top accelerators, which all speak to a product's overall TCO value proposition. Measuring AI Accelerator Performance In Machine Vision Applications All of the accelerators tested provided significant gains over CPU-only inference—some up to 30x faster—underscoring how vital dedicated hardware accelerators have become for AI inference. Among the tested devices, PCIe and M.2 accelerators from Axelera showed consistently stronger throughput across every model, especially with heavier YOLOv5m and YOLOv8l workloads. Notably, the Axelera PCIe card maintained performance levels where several other accelerators tapered off, and it consistently smoked the competition across all model implementations tested. SSD MobileNet v2 Machine Vision AI Model Inferencing Test Results Show Axelera In The Lead YOLOv5s Machine Vision AI Model Results Shows The Axelera PCIe Card Wins Hands-Down But Nvidia Is ... More Competitive That said, Nvidia's higher-end RTX A4000 GPU maintained competitive performance in certain tests, particularly with smaller models like YOLOv5s. Hailo's M.2 module offered a compact, low-power alternative, though it trailed in raw throughput. Overall, the report illustrates that inference performance can vary significantly depending on the AI model and hardware pairing—an important takeaway for integrators and developers designing systems for specific image detection workloads. It also shows how dominant Axelera's Metis accelerators are in this very common AI inference application use case, versus major incumbent competitors like NVIDIA. Power consumption is an equally important factor, especially in AI edge deployments, where thermal and mechanical constraints and operational costs can limit design flexibility. Using per-frame energy metrics, our research found that all accelerators delivered improved efficiency over CPUs, with several using under one Joule per frame of inferencing. SSD MobileNet v2 Power Efficiency Results Shows Axelera Solutions Win In A Big Way YOLOv5s Power Efficiency Results Show Axelera Solutions Ahead But Nvidia And Hailo Close The Gap Here, Axelera's solutions out-performed competitors in all tests, offering the lowest energy use per frame in all AI models tested. NVIDIA's GPUs closed the gap somewhat in YOLO inferencing models, while Hailo maintained respectable efficiency, particularly for its compact form factor. The report highlights that AI performance gains do not always have to come at the cost of power efficiency, depending on architecture, models and workload optimizations employed. Beyond performance and efficiency, our report also looked at the developer setup process—an often under-appreciated element of total deployment cost. Here, platform complexity diverged more sharply. Axelera's SDK provided a relatively seamless experience with out-of-the-box support for multi-stream inference and minimal manual setup. Nvidia's solution required more hands-on configuration due to model compatibility limitations with DeepStream, while Hailo's SDK was Docker-based, but required model-specific pre-processing and compilation. The takeaway: development friction can vary widely between platforms and should factor into deployment timelines, especially for teams with limited AI or embedded systems expertise. Here Axelera's solutions once again demonstrated simplicity in its out-of-box experience and setup that the other solutions we tested could not match. Our study also analyzed object detection accuracy using real-world video footage. While all platforms produced usable results, differences in detection confidence and object recognition emerged. Axelera's accelerators showed a tendency to detect more objects and draw more bounding boxes across test scenes, likely a result of its model tuning and post-processing defaults that seemed more refined. Still, our report notes that all tested platforms could be further optimized with custom-trained models and threshold adjustments. As such, out-of-the-box accuracy may matter most for proof-of-concept development, whereas other, more complex deployments might rely on domain-specific model refinement and tuning. Axelera AI's Metis PCI Express Card And M.2 Module AI Inference Accelerators Our AI research and performance validation report underscores the growing segmentation in AI inference hardware. On one end, general-purpose GPUs like those from NVIDIA offer high flexibility and deep software ecosystem support, which is valuable in heterogeneous environments. On the other, dedicated inference engines like those from Axelera provide compelling efficiency and performance advantages for more focused use cases. As edge AI adoption grows, particularly in vision-centric applications, demand for energy-efficient, real-time inference is accelerating. Markets such as logistics, retail analytics, transportation, robotics and security are driving that need, with form factor, power efficiency, and ease of integration playing a greater role than raw compute throughput alone. While this round of testing (you can find our full research paper here) favored Axelera on several fronts—including performance, efficiency, and setup simplicity—this is not a one-size-fits-all outcome. Platform selection will depend heavily on use case, model requirements, deployment constraints, and available developer resources. What the data does make clear is that edge AI inference is no longer an exclusive market GPU acceleration. Domain-specific accelerators are proving they can compete, and in some cases lead, in the metrics that matter most for real-world deployments.

UniCredit Boosts Its Equity Stake in Commerzbank to About 20%
UniCredit Boosts Its Equity Stake in Commerzbank to About 20%

Bloomberg

timean hour ago

  • Bloomberg

UniCredit Boosts Its Equity Stake in Commerzbank to About 20%

UniCredit SpA, the Italian lender that hopes to acquire Commerzbank AG, increased its equity stake in the German firm and became its largest shareholder after converting derivatives into stock. The move gives Milan-based UniCredit about 20% of the effective voting rights and it intends to eventually convert its remaining 'synthetic position' to boost its Commerzbank holding to roughly 29%, according to a statement Tuesday. UniCredit announced the change after receiving approvals from the European Central Bank, German antitrust authorities and the US Federal Reserve.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store