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Tesla destination charging facility, also Pittsburgh EV landmark will be demolished
Vast construction projects at Pittsburgh’s Carnegie Mellon University will soon engulf a site that became a landmark in the development of electric vehicles in western Pennsylvania. It was a pioneering facility and the largest charging site in the region for many years.
The Electric Garage’s chargers are being relocated immediately with demolition of the site to begin in July.
At its peak, the Electric Garage boasted eight J1772 Level 2 chargers offering 203V at 30 amps. In 2014, a Tesla HPWC with 40 amp charging was added. Charging and parking was free to the public for up to four hours a session– a welcome oasis in the otherwise congested and paid parking of Oakland. It was easily the largest charging site in western Pennsylvania for most of its life and was open 24 hours/7 days a week on a first-come, first-serve basis. Non-charging parking spots on the site were marked as permit only.
The original six Eaton chargers were installed in 2012, using funding provided from the Pennsylvania Department of Environmental Protection’s Office of Energy and Technology Deployment which had a special mandate from the Office of Acronym Abatement at the Bureau of Ridiculously Long and Expansive Government Agency Naming Commission Department.
Originally built as an Exxon gas station, the Electric Garage was the invention of CMU robotics professor Illah Nourbakhsh. The university bought the property in 2009 and Nourbakhsh transformed it soon after into the workshop for the ChargeCar program. ChargeCar worked to further and develop EV technology, converting several vehicles and working out designs for regenerative braking. The industry’s pace of development soon overran much of ChargeCar’s work as more manufacturers brought EVs into mass production.
Undaunted, ChargeCar hosted numerous community outreach events to showcase the everyday feasibility of EVs to the general public. The site then morphed into a charging station and ChargeCar moved from primarily making gas-electric conversions to educating local mechanics in how to repair EVs.
Notice of the Electric Garage’s potential demise first bubbled up in May 2014, just months after the Tesla HPWC was installed. For several years, Tesla would use the Electric Garage as their main charging facility for Pittsburgh Test Drive events. There was no official Tesla presence in the city and Superchargers were too far from downtown. The proximity of the Electric Garage to the test drive events’ hosting facilities and hotels (and its number of chargers) made it an ideal overnight parking area for a small fleet of Teslas, hungry after a day of being pummeled by curious Pittsburghers.
Taking the place of the Electric Garage will be CMU’s new Tata Consultancy Services (TCS) Building. The 40,000 square foot structure is designed by Skidmore, Owings & Merrill and will be built by Mascaro Construction. CMU described the new mixed-use building as “a new home for the university stores, a dining facility on the ground floor, and academic or administrative office and shelled space. The stand-alone structure will house state-of-the-art facilities, providing collaborative spaces for the CMU community.” CMU expects to spend $22.5 million on the project, which should break ground late this year.
Demolition of the Electric Garage will take place in July. The university has indicated that the chargers will be relocated to other places on campus, though EV drivers will likely have limited access the parking garages that will house some of them. It is also unlikely that all of those will remain available to the general public.
Current plans are as follows: 2 chargers move to the East Campus Garage, 2 chargers to the Dithridge Garage and the CIC Garage will have 5 stations.
If any are publicly available, it would most likely be the 5 chargers at the CIC garage. The notice from CMU Parking & Transportation Services indicates that these 5 chargers “will be located on the outside prior to entering the garage.” Given the awkward placement of the garage in relation to the campus and nearby train tracks, that could be interpreted a number of different ways. The approach roads to the garage are narrow, but there could be room for creative placement and there is a more hospitable lot close by. It also seems probable that the Tesla HPWC could be reappearing at this location. CMU has not yet responded to requests for clarification.
The passing of the Electric Garage “era” is lamentable, but CMU’s commitment to relocate the chargers is to be commended. Many businesses would have simply shoved them into a warehouse (or worse). It is an unfortunate development for EV drivers who have enjoyed both free parking and charging in Oakland, but with CMU’s inherent focus on technology there is hope for more charging stations in the future.
For local Tesla owners, the chargers were more about convenience than necessity. Long distance travelers are similarly unaffected by the change for the most part (ever since the Somerset and Cranberry Superchargers went online). With the opening of Ross Park Mall’s Tesla store this summer– complete with outdoor HPWCs– and the expected opening of a Pittsburgh Service Center later this year, there is also no longer a need for test drive fleets to recharge overnight in Oakland.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
News
SpaceX is following in Tesla’s footsteps in a way nobody expected
In the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
When Elon Musk founded Tesla in 2003, it was a plucky electric car startup betting everything on lithium-ion batteries and a niche luxury Roadster.
Two decades later, Tesla is far more than a car company. Its valuation increasingly hinges on Full Self-Driving software, the Optimus humanoid robot, the Robotaxi program, and the Dojo supercomputer cluster purpose-built for AI training.
Musk has repeatedly described Tesla as an AI and robotics company that happens to sell vehicles. The cars, in this view, are merely the first scalable platform for real-world AI.
Now, SpaceX is tracing an eerily similar path, only faster and in a direction almost no one anticipated. Founded in 2002 to make spaceflight routine and eventually multiplanetary, SpaceX spent its first two decades perfecting reusable rockets, landing Falcon 9 boosters, and building the Starlink megaconstellation.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
It was an engineering and manufacturing powerhouse, not a software play. Yet, in the span of just months in early 2026, SpaceX has transformed itself into one of the world’s most ambitious AI companies. The catalyst: its February acquisition of xAI.
The xAI deal, announced on February 2, was structured as an all-stock transaction that valued the combined entity at roughly $1.25 trillion—SpaceX at $1 trillion and xAI at $250 billion. In a memo to employees, Musk framed the merger as the creation of “the most ambitious, vertically-integrated innovation engine on (and off) Earth.”
The new SpaceX now owns Grok, the large language model family that powers the chatbot of the same name, along with xAI’s massive training infrastructure. More importantly, it has a declared mission to move AI compute off-planet.
Earth-based data centers are hitting hard limits on power, cooling, and land. Musk’s solution is orbital data centers, or constellations of solar-powered satellites that act as supercomputers in the sky.
SpaceX has already asked regulators for permission to launch up to one million such satellites. Starship, the company’s fully reusable heavy-lift vehicle, is the only rocket capable of delivering the necessary mass at the required cadence.
Each orbital node would enjoy near-constant sunlight, vast radiator surfaces for passive cooling, and zero terrestrial real-estate costs. Musk has predicted that within two to three years, space-based AI inference and training could become cheaper than anything possible on the ground.
This is not a side project; it is the strategic centerpiece Musk has envisioned for SpaceX. Starlink already provides the global low-latency backbone; next-generation V3 satellites will carry onboard AI accelerators. Rockets deliver the hardware, while AI optimizes every aspect of launch, landing, and constellation management.
The feedback loop is self-reinforcing, too. Better AI makes better rockets, which launch more AI infrastructure.
Just yesterday, on April 21, SpaceX doubled down.
It secured an option to acquire Cursor—the fast-growing AI coding tool beloved by software engineers—for $60 billion later this year, or pay a $10 billion partnership fee if the full deal does not close.
Cursor’s models already help engineers write code at superhuman speed. Pairing that technology with SpaceX’s Colossus-scale training clusters (the same ones powering Grok) positions the company to dominate AI developer tools, much as Tesla dominates autonomous driving software.
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The parallels with Tesla are striking. Both companies began in a single, capital-intensive sector: Tesla with EVs, SpaceX with launch vehicles. Both used early hardware success to fund AI at scale. Tesla’s Dojo supercomputers train neural nets on billions of miles of real-world driving data; SpaceX now trains on telemetry from thousands of orbital assets and re-entries.
Tesla’s FSD chip runs inference on cars; SpaceX’s future satellites will run inference in orbit.
Tesla’s Optimus robot will work in factories; SpaceX envisions lunar factories manufacturing more AI satellites, eventually using electromagnetic mass drivers to fling them into deep space.
Critics once dismissed Musk’s multi-company empire as unfocused. The 2026 moves reveal the opposite: deliberate convergence.
SpaceX is no longer merely a rocket company that sells internet from space. It is an AI company whose competitive moat is literal orbital infrastructure and the only vehicle that can service it at scale. The forthcoming IPO, expected later this year, will almost certainly be pitched not as a space play but as the purest bet on AI infrastructure the public market has ever seen.
Whether the orbital data-center vision survives regulatory scrutiny, astronomical concerns about light pollution, or the sheer engineering challenge remains to be seen.
Yet the strategic direction is unmistakable. Just as Tesla proved that software and AI could redefine the century-old automobile, SpaceX is proving that rockets are merely the delivery mechanism for the next great computing platform—one that floats above the clouds, powered by the sun, and limited only by the physics of orbit.
In that unexpected sense, history is repeating. Tesla stopped being “just a car company” years ago. SpaceX has now stopped being “just a rocket company.” Both are becoming something far larger: AI powerhouses with hardware moats so deep that competitors will need their own reusable megaconstellations to keep up.
The age of terrestrial AI is ending. The age of space-based AI is beginning—and SpaceX is building the launchpad.
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues
