Transitioning to renewable energy requires a multi-faceted approach, and power storage from sources such as solar and wind energy will play an increasingly important role in that playbook in the future. To tackle this problem, former Northvolt and Tesla workers have joined forces to focus on the scalability of battery production with the new company Peak Energy.
Peak Energy aims to mass-produce giant battery storage systems for renewable sources such as wind and solar (via CNBC). CEO and Founder Landon Mossburg formerly worked at Tesla and went on to work as an executive at Northvolt before founding Peak Energy earlier this year.
The company plans to scale a more affordable battery chemistry than the lithium-ion batteries used in Tesla’s Megapacks, instead hoping to produce large-scale battery systems with lower-density, lower-cost sodium-ion technology.
Since the company plans to mass-scale an existing product, Peak Energy President and COO Cameron Dales notes that they don’t consider the company a startup, although it only started in June. Interestingly, Peak Energy is looking to partner with a technology company specializing in battery tech, but specifically one that doesn’t yet have the ability to scale its products.
“A normal Silicon Valley startup is 10 years in the lab, come up with a better mousetrap and go to market. We’re completely the opposite,” Dales told CNBC in an interview.
The company plans to make individual sodium-ion battery cells, roughly the size of a loaf of bread, according to Dales. These cells will then be used together to make larger modules about the size of a filing cabinet. These filing cabinet modules could be deployed at solar or wind farms at volumes of 50-100 per order.
Credit: Peak Energy
With 100 blocks, Mossburg explains, the battery system is expected to be able to power as many as 62,500 homes for up to four hours.
He also thinks that the company’s battery systems could cost around half the cost of a Tesla Megapack’s $1.3 million before installation, though it’s still too early for the company to have a price on its products.
“In the battery market it turns out the rarest commodity is not the technology — there are many excellent ideas out there at academic labs and startups — but rather the ability to scale to manufacturing,” Mossburg said. “The difficulty of manufacturing scale up is one of the reasons you see so many ‘breakthrough battery technology’ announcements but very very few companies who actually reach market.”
The company has also announced a $10 million funding round led by Eclipse Ventures’ Greg Reichow, a former Tesla executive who was in charge of battery, motor and electronics manufacturing before going on to lead global manufacturing. Crucially, Dales points out to CNBC that Reichow also led the development of Tesla’s Giga Nevada battery factory with partner Panasonic, which he considers the first mass-scale battery factory in the world.
TDK Ventures, owned by Japanese multinational electronics manufacturer TDK, will also join the funding round.
“The number one issue we face as it relates to expanding renewable energy sources is storage,” Reichow said. “This problem must be solved, but the existing approaches using lithium-ion and other technologies are not yet at a price point that enables the kind of scaling that society needs across sectors.”
The U.S. Energy Information Administration forecasts battery storage capacity to increase from just 9 gigawatts last year to as much as 49 GW by 2030 before jumping to 247 GW in 2050. This projection shows demand for mass-scale battery storage will continue to grow, especially as transportation and other sectors shift toward renewable energy sources.
Peak Energy currently hopes to produce “double digit gigawatt” amounts of battery cells by 2030, set to be used for its own battery systems and other applications. According to Mossburg, building a battery factory will take between $50 million and $100 million per GW. He also says a 30 GW factory would have between 2,000 and 3,000 workers, requiring a 1-2 million square-foot space.
Mossburg has experience scaling battery production at Northvolt, founded by former Tesla Global Head of Sourcing and Supply Chain Peter Carlsson, who worked for the automaker from 2011-2015. By the time Mossburg left Northvolt, the company had grown to employ 4,000 people from just 300 only 18 months prior.
″We’re running a playbook which I and the rest of the executive team initially demonstrated and deployed at Northvolt,” Mossburg said.
Tesla Megapack powers new 196 MWh battery storage system in Europe
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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
