Tesla Semi rival Freightliner recently revealed that its test fleet of all-electric commercial trucks has successfully crossed 700,000 miles of real-world travel. In part to several return-to-base type operations, including local and regional pick-up and delivery, Daimler Communications Manager Fred Ligouri detailed the trips and development of its eM2 box truck and eCascadia Class 8 tractor-trailer, the two vehicles responsible for the 700,000-mile travel statistic thus far.
The all-electric vehicle market is raging with competitors, and it goes far beyond the passenger car sector. With Tesla being the dominating force within electric passenger vehicles, fending off competition from several big-name manufacturers, the commercial vehicle sector is definitely wide open. Several companies are testing out all-electric commercial vehicles, and nobody has brought anything to the market that is being mass-produced at the moment. The Tesla Semi has been delayed on several occasions due to battery constraints, and other companies, like Nikola, have disappeared. It’s not to say that there won’t be a dominating company in this sector in the future, but up to this point, it is really anyone’s race.
Daimler Trucks’ line-up of commercial electric vehicles (from left to right): Freightliner eM2, Freightliner eCascadia, Thomas Built Buses Saf-T-Liner C2 Jouley, FUSO eCanter [Credit: Daimler North America]
With that being said, Freightliner believes they have what it takes to derail the hype that coincides with the Tesla Semi. After completing so many miles of real-world testing, Ligouri believes that Freightliner is moving closer to putting its all-electric trucks on the road as testing provides its engineers with valuable feedback from drivers who are giving honest opinions about the vehicles moving forward.
“These are real trucks hauling real freight in the real world and racking up zero-emissions mile after mile — in excess of 700,000 thus far,” Ligouri told Inverse. “Through this process of co-creation with our customers, we are ensuring durability and reliability for series-built trucks, incorporating purposeful innovations, and furnishing the opportunity for more and more fleets to experience eMobility.”
Freightliner is in no rush to put anything out before it’s absolutely ready. There are currently 38 preproduction trucks traveling around Southern California to develop modifications and improvements as the truck moves closer to its production stage. The testing phase is apart of Daimler’s Battery Electric Freightliner Customer Experience Fleet. Drivers are responsible for reporting suggestions, dislikes, and areas of improvement to the manufacturer, who considers each comment.
The trucks aren’t prepared for extremely-long and treacherous routes quite yet. The eM2 box truck packs only 230 miles of range, while the eCascadia can take drivers 250 miles per charge. It’s undoubtedly low compared to regular Semi-trucks, but it’s not to say that it won’t improve. And, after all, it travels with zero-emissions.
While Freightliner has an impressive statistic in its 700,000 miles of travel with its two all-electric trucks, it surely doesn’t have the only Semis on the road that are all-electric. The Tesla Semi has made some runs from Fremont, California, to Sparks, Nevada, and has been tested in real-world conditions as well. Additionally, several new sightings of the Tesla Semi have been reported recently, showing Tesla is undoubtedly working to pinpoint a date for a future production run of its all-electric commercial vehicle. After the recent promotion of Jerome Guillen from Automotive President to President of Heavy Trucking, it is evident Tesla is looking to make major strides in Semi development in 2021.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
