You’ll never know how far the Tesla Semi, the Volvo VNR, or other electric semi-trucks will go according to EPA testing standards. The answer is incredibly complex, but simply put, the EPA does not test or evaluate heavy-duty trucks for range ratings. Don’t expect the agency to tell you how far the Tesla Semi or other EV trucks will go because testing simply does not happen.
This allows manufacturers of heavy-duty electric vehicles and semi-trucks to have a profoundly unique ability to control the narrative that surrounds how far their product can go on a full charge. As crazy as it sounds, customers leaping into the all-electric Class 8 sector are putting trust in the companies they buy from when weighing what is arguably the most important metric of the EV ownership experience: range.
Following the certification of the Tesla Semi by the EPA in late October, which Teslarati exclusively reported on, we were bombarded with questions surrounding the vehicle’s EPA-rated range. Light-duty passenger electric vehicles and their success can almost always be gauged by how customers react to range ratings during unveiling events. When Lucid announced it had successfully reached an EPA-rated 520 miles of range on a single charge in the Air Dream Edition, the EV world was astounded. While the vehicle has felt heavy demand on order logs, Lucid still fulfills them to this day.
Meanwhile, other manufacturers bring vehicles to the market with relatively “light” range projections or ratings. It is always disappointing to see a vehicle with so much potential offer so little of what EV owners want: driving range. People do not want to stop at EV chargers. They want to continue their journey on the roads.
Polestar’s recently-unveiled Polestar 3 comes to mind when I (and some others) think of an astounding vehicle with not-so-astounding range and efficiency. Despite its 111 kWh battery pack, the Polestar 3 only offers 379 miles of WLTP-rated range. WLTP ratings are usually much more generous than EPA ratings, so I am anticipating the vehicle to reach around 300 miles of range when the U.S. agency gets its hands on it.
When light-duty vehicles are assessed, approved, and granted Certificates of Conformity from the EPA, they are available for the public to read and include results on efficiency and range testing. This is where heavy-duty vehicles and the testing process differ vastly from light-duty ones.
While these are both vehicle classes that are purchased and used by consumers on public roads, only light-duty vehicles are assessed for range ratings, while heavy-duty vehicle manufacturers do not have their products’ range “evaluated, reported, or included” in an application for certification, the EPA said in an emailed statement.
The EPA has numerous documents relating to this idea, as well as the Society of Automotive Engineers (SAE). However, the documents never directly specified why heavy-duty vehicles are not required to be tested by federal agencies. That does not mean that reasoning is not available.
The fact of the matter is the agency may not have been prepared to test heavy-duty electric vehicles for range ratings, especially this soon. A document found in the Federal Register that was submitted by the EPA and Department of Transportation (USDOT) in 2016 titled, “Greenhouse Gas Emissions and Fuel Efficiency Standards for Medium- and Heavy-Duty Engines and Vehicles— Phase 2,” which established rules to reduce greenhouse gases, includes an interesting tidbit regarding electric vehicles:
“Given the high up-front costs and the developing nature of this technology, the agencies do not project fully electric vocational vehicles to be widely commercially available in the time frame of the final rules. For this reason, the agencies have not based the Phase 2 standards on adoption of full-electric vocational vehicles. We received many comments on electric trucks and buses. Specifically, EEI provided information on the total cost of ownership for electric trucks, and some applications may see attractive long-term cost.”
The time frame of the final rules is set to end in 2027 and apply to model year 2027 vehicles, according to the document.
The agency recognized in 2016 that these technologies may be in development, and we all know they are. As the EPA and NHTSA may not have been able to predict how quickly all-electric heavy-duty trucks would become a prevalent piece of American logistics, the agencies were aware that this technology was coming in the future:
“Phase 2 will include technology advancing standards that will phase in over the long-term (through model year 2027) to result in an ambitious, yet achievable program that will allow manufacturers to meet standards through a mix of different technologies at reasonable cost. The terminal requirements go into effect in 2027, and would apply to MY 2027 and subsequent model year vehicles, unless modified by future rulemaking. The Phase 2 standards will maintain the underlying regulatory structure developed in the Phase 1 program, such as the general categorization of MDVs and HDVs and the separate standards for vehicles and engines. However, the Phase 2 program will build on and advance Phase 1 in a number of important ways including the following: basing standards not only on currently available technologies but also on utilization of technologies now under development or not yet widely deployed while providing significant lead time to assure adequate time to develop, test, and phase in these controls.”
So, how do manufacturers determine range?
This is where things get very tricky because if the EPA is not testing the range itself as an unbiased government organization, it means manufacturers are required to test the vehicles themselves, leaving consumers to trust the companies that they are buying from.
Technically, manufacturers could say whatever they want regarding their electric trucks. Tesla has maintained significant range ratings for the Semi throughout its development, with Elon Musk recently stating the vehicle will have 500 miles of range per charge, with a sizeable payload. Of course, Tesla has been testing its vehicle internally and with the help of verified customers, like Frito Lay, who will take delivery of the first Semi on December 1.
It really comes down to independent testing. Volvo, for example, tested the range of its all-electric VNR Class 8 heavy-duty truck through a pilot program with third-party companies. Through its LIGHTS (Low Impact Green Heavy Transport Solutions) project, Volvo had companies like NFI Industries test the VNR through its commercial operations to prove and demonstrate the truck’s ability.
“By participating in the Volvo LIGHTS project, NFI is helping to prove that Volvo’s VNR Electric trucks can handle the daily rigors of freight movement. NFI continues to be a leader in sustainability, and it comes across in everything they do,” Peter Voorhoeve, president of Volvo Trucks North America, said. “NFI is realizing the immediate value the electric VNR provides—not just by eliminating emissions but creating an enthusiastic workforce complimenting the experience of driving these electric truck models.”
The LIGHTS project ran through 2021 and provided Volvo with “real-world operational data critical to the successful commercial scaling of these vehicles.”
So how do you know how far an all-electric Class 8 heavy-duty vehicle goes? You might literally have to find out for yourself, or you can trust the manufacturer’s word for it.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.
CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.
Musk said:
“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”
Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”
He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.
The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.
Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”
Tesla alleged “driverless” crash in Texas: What is known so far
“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.
This appears to be a similar situation. However, an investigation will prove what happened for sure.
SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.
The company announced an offering of senior unsecured notes expected to raise at least $20 billion.
The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.
The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.
SpaceX officially acquires xAI, merging rockets with AI expertise
In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.
The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.
SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.
Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
