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SF Motors set sights on EV mass production with latest R&D testing facility
Santa Clara based electric vehicle startup SF Motors is opening up a new full-scale R&D center in Silicon Valley. SF Motors was founded in January 2016 after a large investment from Sokon Motors, a large Chinese automotive company. The company’s new 130,000 sqft research and development facility will be located in Milpitas, CA, roughly 6 miles away from SF’s headquarters.
The new facility, which is expected to be completed in Q4 ’18, will be capable of “small batch” manufacturing and development of manufacturing processes. The company is focusing on battery, powertrain, and autonomous vehicle development at the facility.
“Adding to our existing R&D labs, this new facility will conduct extensive design validation testing and small-scale manufacturing necessary to ensure a smooth transition to mass production of our batteries and electric powertrains, which are key components of our vehicles,” said SF Motors CTO Yifan Tang.
Yifan Tang joined SF Motors in February 2017. He was previously the technical lead on Facebook’s high-altitude long-range aircraft aimed at beaming internet across the globe. Before Facebook, Tang was VP of Drivetrain Engineering at Lucid Motors for three years and Principal Motor Technologist at Tesla for five years. During his time at Tesla Tang designed the motors for the Roadster, Model S, Mercedes B-Class/Toyota Rav4, and the prototype Model X AWD. Tang has a Ph.D. in electrical engineering from The Ohio State University and 35 U.S. patents.
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- SF Motors’ Santa Clara Headquarters (Photos: Greg Cortez)
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- SF Motors’ Santa Clara Headquarters (Photos: Greg Cortez)
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- SF Motors’ Santa Clara Headquarters (Photos: Greg Cortez)
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- SF Motors’ Santa Clara Headquarters (Photos: Greg Cortez)
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- SF Motors’ Santa Clara Headquarters (Photos: Greg Cortez)
In October 2017 SF Motors acquired Tesla co-founder Martin Eberhard’s battery module startup evINIT for $33M. Eberhard is now Chief Strategy Officer at SF Motors and the former CEO of evINIT, Mike Miskovsky, is Chief Development Officer. Eberhard served as the CEO of Tesla in its early years until late 2007.
Closing the loop from R&D to Manufacturing
SF Motors’ CTO Yifan Tang tells Teslarati that the new facility will help “close the loop from R&D to manufacturing,” and help accelerate the company to mass production. Tang describes the new facility as a key part of SF Motors strategy as they push forward to mass production.
According to SF Motors, the company is already prepping manufacturing facilities in the U.S. and China. SF Motors purchased a 675,000 sqft plant in Indiana from AM General in November 2017. The company also has a massive factory in Chongqing, China, with nearly 8.4M sqft of manufacturing space that’s capable of producing 200,000 vehicles per year.
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SF Motors’ new R&D Facility in Milpitas, California (Photo: Loopnet/McCarthy Creekside
Industrial Center)
SF’s Tang emphasized that the company’s abilities to produce small-batch trial production at their R&D facility will differentiate itself from other automotive manufacturers. The company plans to also produce battery cells at the facility and will test different cell configurations, modules, and battery pack sizes.
SF plans to produce a wide range of vehicles, and the ability to tweak cell chemistry along with module configurations will allow them to produce battery packs that are optimized for cost efficiency and performance.
The new R&D facility will house roughly 100 employees, but its proximity to the company’s headquarters allows the company to shift employees back and forth. “Drawing on our global business model and decades of manufacturing experience, locating this facility near our Silicon Valley headquarters will strategically ensure quality and efficiency as we prepare to bring our intelligent EVs to market,” Tang said in a press release.
SF Motors plans to start trial production of their vehicles at the end of this year.
Update at 10:35 am PT: An earlier version of this article incorrectly stated that SF Motors was a subsidiary of Sokon Motors. Sokon Motors was a large initial investor in SF Motors, but does not wholely own the company.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
