News
Tesla China gives sneak peek at Giga Shanghai operations with new video series
Tesla China announced that it would release a series of videos providing a sneak peek into Giga Shanghai’s operations. The first video in the series shares information about Tesla China’s cost management strategy.
Giga Shanghai’s Layout
The first factor in Tesla China’s cost control strategy is Giga Shanghai’s layout. The stamping, welding, painting, and assembly workshops are connected to minimize “the logistics path” between each process, improving efficiency. Giga Shanghai also utilizes the longitudinal space in all its workshops through elevators and machine transportation tracks. The placement of Giga Shanghai’s docks is also a way of running the factory efficiently, which minimizes time and costs.
Elon Musk once stated that Tesla’s gigafactories would become products themselves. Tesla China seems to have taken that to heart with Giga Shanghai.
“It can be said that the innovation of the factory itself builds [an] enforceable foundation for the innovation of the production and manufacturing. Without this foundation, cost control would be like a tree without roots or water without a source,” noted Tesla China.
Take a tour inside Tesla Gigafactory Shanghai and follow us to explore the unique charm of the "Tesla Giga Principle" of cost control.
A series of cool videos will be released later. Don't miss out👀 Let’s #GoGiga 🔥 @elonmusk
🔗https://t.co/7jdNmCipL8— Tesla Asia (@Tesla_Asia) December 16, 2021
Tesla China R&D Center
Tesla’s local R&D Center in Shanghai was completed earlier this year. Tesla China states that the R&D Center is another pillar in its cost management strategy. The R&D Center handles essential parts of Tesla’s manufacturing process from design to testing and quality control.
Tesla China believes the R&D Center provides a complete closed-loop product development process. It helps Giga Shanghai vehicles evolve over time by delivering precise cost management blueprints that improve the affordability of Tesla products, from its all-electric vehicles to its battery storage systems.
Tesla Giga Shanghai Production
Tesla Giga Shanghai’s production process is yet another factor contributing to lowered costs. The process includes independent parts production. An excellent example of independent parts production would be the Tesla Model 3 and Model Y’s single-cast rear bottom plate.
“Take the Model 3 as an example. It needs roughly more than 70 punch-welded parts for the rear bottom plate. Most OEMs usually outsource those parts production, and they still have to set up a welding line,” said one Tesla Chain Casting Process Engineer.
“So, the whole production cycle is quite long. After we realized the one-piece casting, we only need the aluminum ingots from a supplier to manufacture it ourselves, including melting, die-casting, post-treatment, and machining. Within a very short period of time, the raw materials will be molded into a complete rear bottom plate,” he said.
The management of the docks contributes to the efficiency of production as well. The factory handles nearly 2,000 containers a day. Each customer order affects the sequence the factory transports the car parts through the assembly line. Suppliers also follow customer orders by sending parts as each order is made.
Through this level of organization with suppliers and in Giga Shanghai, Tesla China ensures that little to no parts need to be kept in a warehouse. Giga Shanghai aims to have zero inventory.
The supply chain significantly affects production, as can be seen in the way the docks are managed. Localizing Giga Shanghai’s supply chain was crucial in Tesla China’s cost management strategy. The local supply chain helps reduce production costs and raise the standards for parts.
Tesla China’s cost control video provides a tiny glimpse into all the work and forethought that went into Giga Shanghai from layout to production. It also explains why Giga Shanghai has become cost-efficient and Tesla’s primary export hub.
Giga Shanghai has helped increase Tesla’s production and delivery numbers at a monumental level. In November, Tesla China’s Global VP Grace Tao stated that Giga Shanghai aims to produce 500,000 vehicles by the end of 2021.
Watch Tesla China’s Giga Shanghai feature in the video below.
https://youtu.be/esa7iC0MOJ8
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Elon Musk
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Tesla set to launch “Terafab Project: A vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla is making one of the boldest bets in its history. On March 14, Elon Musk posted on X that the “Terafab Project launches in 7 days,” pointing to March 21, 2026 as the start date for what he has described as a vertically integrated chip fabrication effort combining logic processing, memory, and advanced packaging.
Tesla first confirmed Terafab on its January 28, 2026 earnings call, where Musk told investors the company needs to build a chip fabrication facility to avoid a supply constraint projected to materialize within three to four years. But the seeds were planted even earlier. At Tesla’s annual general meeting last year, Musk warned that even in the best-case scenario for chip production from their suppliers, it still wouldn’t be enough, and declared that building a “gigantic chip fab” simply had to be done.
While there has been no official announcement on where Tesla plans to break ground on the massive Terafab, all signs point to the North Campus of Giga Texas in Austin.
Months of speculation has surrounded Tesla’s North Campus expansion at Giga Texas, where drone footage captured by observer Joe Tegtmeyer revealed massive construction site preparation just north of the existing factory on a scale that rivals the original Giga Texas footprint itself.
Samsung’s Tesla AI5/AI6 chip factory to start key equipment tests in March: report
The project is projected to produce 100–200 billion AI and memory chips annually, targeting 100,000 wafer starts per month, at an estimated cost of $20 billion. Tesla is targeting 2-nanometre process technology and anticipated to be the most advanced node currently in commercial production. Dubbed the Tesla AI5 chip, the chip will pack 40x–50x more compute performance and 9x more memory than AI4, and will be among the first products Terafab factory is set to produce. This highly optimized, and massively powerful inference chip is designed to make full self-driving (FSD) and Tesla’s Optimus robots faster, safer, and with full autonomy.
(Credit: Tesla)
This is where Terafab becomes a genuine game-changer. If Tesla successfully builds a 2nm chip fab at scale, it becomes one of only a handful of entities that’s capable of producing AI silicon in-house, with competitive implications that extend far beyond Tesla’s own vehicles, and potentially positioning Tesla as a chip supplier or licensor to other industries.
Credit: @serobinsonjr/X
The next-gen Tesla AI chips will power advancements in Full Self-Driving software, the Cybercab Robotaxi program, and the Optimus humanoid robot line. Musk’s projections for Optimus require chip volumes that no existing external supplier can commit to on Tesla’s timeline.Competitors like Waymo and GM’s Cruise remain dependent on third-party silicon, leaving them exposed to the same supply chain vulnerabilities Tesla is now working to eliminate entirely.
The Terafab launch this week may not mean a factory opens its doors overnight, but it signals Tesla is serious about owning the entire AI stack, from software to silicon.
Elon Musk
What is Digital Optimus? The new Tesla and xAI project explained
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Tesla and xAI announced their groundbreaking joint project, Digital Optimus, also nicknamed “Macrohard” in a humorous jab at Microsoft, earlier this week.
This software-based AI agent is designed to automate complex office workflows by observing and replicating human interactions with computers. As the first major outcome of Tesla’s $2 billion investment in xAI, it represents a powerful fusion of hardware efficiency and advanced reasoning.
At its core, Digital Optimus operates through a dual-process architecture inspired by human cognition.
Macrohard or Digital Optimus is a joint xAI-Tesla project, coming as part of Tesla’s investment agreement with xAI.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of…
— Elon Musk (@elonmusk) March 11, 2026
Tesla’s specialized AI acts as “System 1”—the fast, instinctive executor—processing the past five seconds of real-time computer screen video along with keyboard and mouse actions to perform immediate tasks.
xAI’s Grok model serves as “System 2,” the strategic “master conductor” or navigator, providing high-level reasoning, world understanding, and directional oversight, much like an advanced turn-by-turn navigation system.
When combined, the two can create a powerful AI-based assistant that can complete everything from accounting work to HR tasks.
Will Tesla join the fold? Predicting a triple merger with SpaceX and xAI
The system runs primarily on Tesla’s low-cost AI4 inference chip, minimizing expensive Nvidia resources from xAI for competitive, real-time performance.
Elon Musk described it as “the only real-time smart AI system” capable, in principle, of emulating the functions of entire companies, handling everything from accounting and HR to repetitive digital operations.
Timelines point to swift deployment. Announced just days ago, Musk expects Digital Optimus to be ready for user experience within about six months, targeting rollout around September 2026.
It will integrate into all AI4-equipped Tesla vehicles, enabling parked cars to handle office work during downtime. Millions of dedicated units are also planned for deployment at Supercharger stations, tapping into roughly 7 gigawatts of available power.
Oh and it works in all AI4-equipped cars, so your car can do office work for you when not driving.
We’re also deploying millions of dedicated Digital Optimus units in the field at Superchargers where we have ~7 gigawatts of available power.
— Elon Musk (@elonmusk) March 12, 2026
Digital Optimus directly supports Tesla’s broader autonomy strategy. It leverages the same end-to-end neural networks, computer vision, and real-time decision-making tech that power Full Self-Driving (FSD) software and the physical Optimus humanoid robot.
By repurposing idle vehicle compute and extending AI4 hardware beyond driving, the project scales Tesla’s autonomy ecosystem from roads to digital workspaces.
As a virtual counterpart to physical Optimus, it divides labor: software agents manage screen-based tasks while humanoid robots tackle physical ones, accelerating Tesla’s vision of general-purpose AI for productivity, Robotaxi fleets, and beyond.
In essence, Digital Optimus bridges Tesla’s vehicle and robotics autonomy with enterprise-scale AI, promising massive efficiency gains. No other company currently matches its real-time capabilities on such accessible hardware.
It really could be one of the most crucial developments Tesla and xAI begin to integrate, as it could revolutionize how people work and travel.
News
Tesla adds awesome new driving feature to Model Y
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla is adding an awesome new driving feature to Model Y vehicles, effective on Juniper-updated models considered model year 2026 or newer.
Tesla is rolling out a new “Comfort Braking” feature with Software Update 2026.8. The feature is exclusive to the new Model Y, and is currently unavailable for any other vehicle in the Tesla lineup.
Tesla writes in the release notes for the feature:
“Your Tesla now provides a smoother feel as you come to a complete stop during routine braking.”
🚨 Tesla has added a new “Comfort Braking” update with 2026.8
“Your Tesla provides a smoother feel as you come to a complete stop during routine braking.” https://t.co/afqCpBSVeA pic.twitter.com/C6MRmzfzls
— TESLARATI (@Teslarati) March 13, 2026
Interestingly, we’re not too sure what catalyzed Tesla to try to improve braking smoothness, because it hasn’t seemed overly abrupt or rough from my perspective. Although the brake pedal in my Model Y is rarely used due to Regenerative Braking, it seems Tesla wanted to try to make the ride comfort even smoother for owners.
There is always room for improvement, though, and it seems that there is a way to make braking smoother for passengers while the vehicle is coming to a stop.
This is far from the first time Tesla has attempted to improve its ride comfort through Over-the-Air updates, as it has rolled out updates to improve regenerative braking performance, handling while using Full Self-Driving, improvements to Steer-by-Wire to Cybertruck, and even recent releases that have combatted Active Road Noise.
Tesla holds a unique ability to change the functionality of its vehicles through software updates, which have come in handy for many things, including remedying certain recalls and shipping new features to the Full Self-Driving suite.
Tesla seems to have the most seamless OTA processes, as many automakers have the ability to ship improvements through a simple software update.
We’re really excited to test the update, so when we get an opportunity to try out Comfort Braking when it makes it to our Model Y.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
What is Digital Optimus? The new Tesla and xAI project explained
