Rivian is launching fleet sales of its once-exclusive van that was only available to Amazon.
On Monday, Rivian officially opened up its order books for any company aiming to purchase the van for a fleet. Currently, this is the only way to place an order for the Rivian Commercial Van (RCV), which differs in a few ways from Rivian’s EDV, which was an Amazon exclusive.
Tom Soloman, Senior Director of Business Development for Rivian, said:
“Through existing partnerships, our commercial vans have already proved incredibly successful. Amazon currently has more than 20,000 in its fleet and delivered over a billion packages from its Electric Delivery Vans in 2024 alone. Over the last year we have been focusing our efforts on testing with some larger fleets, and we’re really pleased with how those trials have gone. As a result, we’re excited to now be able to open sales to fleets of all sizes in the U.S., whether they want one van or thousands. Our vehicles are designed to not only be among the safest on the road but will also help fleet owners to reduce the cost of fleet ownership and their carbon footprint.”
Rivian RCV Models
Rivian is launching two models of the RCV: the Delivery 500 and Delivery 700. The 500 is more compact than the 700 but offers one more mile of range than its larger sibling. Don’t be too impressed, though, because it only is able to travel 161 and 160 miles on a full charge, respectively.
These range ratings are powered by a 100 kWh Lithium Iron Phosphate (LFP) battery pack that is capable of charging speeds of up to 100 kW.
Fast charging is not necessarily needed with these vehicles because, in a fleet setting, they’ll likely be sitting for some period of time hooked up to chargers, giving a full battery to whoever uses them at the beginning of a trip.
Rivian RCV 500 Dimensions:
- Length – 248.5″
- Width – 96.4″ (including mirrors)
- Height – 114.7″
- 6.7″ of ground clearance
- 487 cu. ft. of cargo area
- 137.3″ of cargo length
- Up to 76.5″ of wall-to-wall cargo area
Rivian RCV 700 Dimensions:
- Length – 278″
- Width – 103.5″ (including mirrors)
- Height – 114.8″
- 6.9″ of ground clearance
- 652 cu. ft. of cargo area
- 166.8″ of cargo length
- Up to 83.6″ of wall-to-wall cargo area
Rivian RCV Safety Features
Rivian’s focus on safety was still a main point of emphasis with the RCV. It features all of your typical Driver Assistance and Safety Features that Rivian includes with other vehicles, with a few extras that fit the typical bill of a cargo van:
- Adaptive Cruise Control
- Blind Spot Warning
- Speed Limit Information Function
- Lane Keep Assist
- Lane Departure Warning
- High Beam Assist
- Back-Up Warning System
- Surround Park Assist
- Bird’s Eye Surround Camera
- Enhanced Reverse View
- Automatic Emergency Braking
- Forward Collision Warning
- Rear Cross Traffic Warning
- Dynamic Braking Support
It also features Rivian’s “Driver+” system, which includes a variety of radars, cameras, and sensors to improve safety:
- Five Radars – 1 Center Front Forward, 4 Corners
- Eight Cameras – 2 Center Front Windshield Forward, 2 Side Mirror Backward, 2 Rooftop, 1 Rear Surround View, 1 Interior
- 12 Ultrasonic Sensors
Rivian RCV Driver Features
In an effort to keep drivers focused on the road, comfortable throughout their workday, and safe, Rivian included a variety of features with the RCV.
- Easily Accessible Buttons – All controls are accessible from the steering wheel while driving
- Large, comfortable driver seat
- 15.4″ Center Display – One of the largest of any light-duty commercial vehicle
- Two Wireless Charging Pads
Rivian RCV Pricing
The Rivian RCV starts at $79,900, and fleet orders can be submitted to Rivian directly on their website.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
