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Inside Rivian’s California battery lab: 180 kWh ‘megapacks’, carbon fiber, and ballistic shields
I found myself perplexed when I heard about Rivian’s plan to unveil an all-electric pickup truck with a battery pack nearly double the size of any other electric vehicle. Packing 80% more energy than Tesla’s flagship Model S and Model X, Rivian’s 180 kWh battery pack enables their full-size, adventure vehicles to travel 400+ miles (643 km) on a single charge. Rivian’s response? We actually call it the “megapack.”
At a flashy unveiling event in Los Angeles, the Michigan-based electric car company exited stealth mode and debuted their first two production vehicles: an all-electric pickup truck dubbed the R1T and an R1S luxury SUV. Capable of towing 11,000 lbs from its all-electric powertrain, the R1T is set to disrupt a $95-billion-dollar US truck market that’s largely dominated by Ford and GM. Rivian’s seven-seater, R1S SUV takes aim directly at gas guzzlers that are competing in the premium sports utility segment like Land Rover and Porsche’s Cayenne.
Powering the R1T Truck and R1S SUV is a quad-motor electric drivetrain that’s paired with one of Rivian’s three battery pack configurations, in 105 kWh, 135 kWh, and 180 kWh (the “megapack”). Rivian’s 180 kWh megapack holds enough energy to power a typical US household for more than two weeks. To learn more about the engineering that goes into each of Rivian’s battery packs, and the company’s plan to bring their ultra-long-range battery packs to market, I visited their research and development facility in Southern California.

The Battery Lab
Rivian’s battery lab is located in an unassuming industrial business park in Irvine, California. Still working its way out of nine-years in stealth mode, the 19,000 sq ft facility lacks any signage on its doors, yet has played a major role since mid-2017 when the company moved in to begin its research and development.
Upon entering the battery lab, I was greeted by the faint hum of testing equipment around me. Bright white lights illuminate a team of engineers in blue Rivian lab coats. I was told that the lab is where Rivian performs tests on the lithium-ion battery cells being used in its vehicles. The lab is also where battery module production is currently taking place, albeit mostly for prototype battery packs.
Leading Rivian’s battery and powertrain development is former hypercar engineer Richard Farquhar, who enjoys an insanely fun-sounding title: VP of Propulsion. Farquhar is one of the many members to recently join Rivian from renowned supercar brand McLaren. Rivian has brought on seven executives from the British company since late 2017, including Executive Director of Engineering and Programs, Mark Vinnels.
(Photo: Rivian)
Rivian’s Battery Cells and Supplier
As Farquhar and I walk past a long row of glass cabinets, seen packed with hundreds of cylindrical battery cells in their testing phase, his eyes lit up with excitement while discussing the most intricate elements of the lithium-ion cells. “We want to understand the battery cells even better than their manufacturer,” Farquhar tells me.
It was the perfect segue I was looking for. “So, where is Rivian getting these battery cells from?” I ask. Farquhar wasn’t able to share the name of their battery partner but emphasized that Rivian wasn’t worried about their supply of cells. “I have no concern whatsoever,” Farquhar emphatically stated.
While Rivian isn’t ready to announce a battery supplier (yet), U.S. customs import records suggest that the company could be partnering with LG Chem to procure their cylindrical 2170 form factor lithium-ion cells. Rivian imported nearly 12,933 kg (28,500 lbs) of the 2170 cells from LG Chem in 2018 thus far — enough to support a test production run of ~195 Rivian battery modules at 15 kWh each.
Designed for extreme conditions
Inside the cabinets were cells being cycled through various charge and discharge states, and at various temperatures. Rivian wants to be the leading experts on battery technology, and in lieu of having numerous vehicles on the road, the company is testing its batteries using real-world simulations.
In the office area next to the lab, engineers analyze the testing data in real-time while adjusting computer-generated models. These tests aren’t just being done for a few hours or days, Farquhar tells me. One battery test has been ongoing for 11 months and counting. Rivian plans to analyze battery cell behavior over time and collect as much data as possible before making adjustments to it and entering production.

While standing the test of time is incredibly important for all battery cells, standing up to extreme conditions is just as critical. On one side of the lab, special climate-controlled containers simulate extreme temperature scenarios and test how the cells, modules, and full-sized battery packs react to these conditions. Rivian expects their adventure-ready vehicles to be capable of handling extreme temperatures and climates. Pushing their batteries to the limit isn’t just a precaution, but a necessity.
From Battery Cells to Modules
Farquhar tells me that Rivian engineers have worked on battery algorithms that leverage a driver’s profile, including their location and navigation data, and real-time weather conditions, to preemptively optimize a battery. For example, when a vehicle is on its way to a DC-charging station, the battery modules will be cooled ahead of time and prepared to accept the fastest charging rate. In essence, Rivian’s battery algorithms are adjusting battery cell settings, constantly, on the fly. By using machine-learning to build predictive models of various conditions, Rivian is able to tune battery cells, with high confidence, on conditions it may encounter.
Rivian’s R1T pickup truck and R1S adventure SUV will use the exact same battery modules. Battery capacity will vary based on the number of modules inside a skateboard-style battery pack design. Each Rivian module holds 864 cells, with 432 on the bottom and the other half stacked on top. In between the cells is a thin 7mm aluminum plate with liquid coolant. The unique structure isn’t known to be used by any other manufacturer.
- A side view of Rivian’s battery module. Between the two layers of battery cells lies a proprietary cooling plate, allowing cells to be packed in tightly, while cooling the module efficiently. (Photo: Rivian)
- Rivian Battery modules being tested in Rivian’s Irvine, CA Development Center (Photo: Rivian)
A battery’s cooling system is one of the most important components within an electric car. If the batteries get too hot from fast charging or extended periods of high output, they could degrade in energy capacity and face permanent damage. If the batteries get too cold, they lose range. Keeping the batteries at their optimum temperature is a constant battle and is what truly differentiates any electric vehicle manufacturer.
Rivian’s solution to battery thermal management is the use of a cold plate that’s placed between two battery cells. A single cooling system chills both layers of cells at the same time. According to Rivian, this reduces the amount of energy needed to power the system, thereby allowing the car to have better range in all types of conditions. In addition to saving power, the cooling system’s design allows for tighter packaging of cells within the modules. According to Farquhar, Rivian’s unique packaging allows the module to be 25% denser than any other battery module on the market.
Rivian’s Battery Pack: Carbon Fiber and Ballistic Shields
I saw it from afar. Carbon fiber. Walking toward a station that was outfitted with Rivian’s line of 135 kWh and 180 kWh battery packs, my eyes were immediately drawn to a fibrous-looking cover plate.
Securing Rivian’s battery modules and high-voltage cabling in place is a carbon-fiber composite shell. Engineers were able to create a unique, high-strength geometric shape out of the carbon fiber while keeping weight to a minimum. Rivian seals the battery pack to be completely watertight. The pack is bolted into the frame of the vehicle and then covered by a smooth ‘ballistic shield’, which prevents damage to the underside of the battery pack and protects occupants within the vehicle’s cabin. The ballistic shield is fitted to the entire underbody of the vehicle.

Having a watertight battery pack that’s armored by a ballistic shield bodes well for a company whose mission is to build extreme off-road vehicles. That’s the messaging Rivian wants consumers to see. The vehicles are designed to be adventure-ready, being able to wade through 1 meter of water, climb 45-degree inclines, and drive over boulders.
Rivian’s Executive Director of Engineering and Programs, Mark Vinnels, told Teslarati that they dropped the vehicle on a boulder from 2 ft in the air, just to be able to verify the battery pack’s integrity in extreme off-road situations.
What about Production?
With the design of its battery module completed, a significant portion of the team’s focus has turned to module production — specifically, designing methods to quickly and efficiently manufacture modules by using automation. Rivian has set up a pilot production line at the Irvine facility, ahead of its anticipated summer 2020 production.

Rivian is actively developing automation processes for the entire battery module assembly. In a corner of the battery facility were two Japan-made robots that were brought in from the company’s massive factory in Normal, Illinois. A robotics technician was actively working on the robots, while I watched a module come together on the line.
The entirety of Rivian’s module and battery pack production is slated to be installed in a 300,000 sq-ft section of Rivian’s 2.6M sq ft factory in Normal, IL. The plant was acquired by Rivian in 2017 for $16M and originally part of an expansion made by Mitsubishi that the Japanese automaker never occupied. Farquhar stated that the area is virtually a “clean slate.”
ALSO SEE: Rivian R1T and R1S: Top 10 hidden features that make an electric off-road vehicle
Rivian expects to start deliveries of the R1S and R1T in the second half of 2020, with the largest battery packs entering production first. The R1S SUV starts at $72,500 (before tax credits) and has a range that varies between 240 to 410+ miles (385 to 660 km). Rivian’s R1T pickup truck has a starting price of $69,000 and similar range as the R1S at 230 to 400+ miles (370 to 643 km), depending on battery pack size. Both vehicles will support CCS DC-fast charging up to 160 kW and are capable of accelerating from 0-60 mph in 3 seconds.
Rivian is accepting preorders at its website.

Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.








