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Tesla Powerwall smarter integration with vehicle charging hinted at in API code
Recent observations from Tesla’s Powerwall API hint that the company’s electric cars will soon have a feature that will allow them to communicate better with the home battery system. With such a system in place, Tesla’s electric cars will not drain the Powerwall when the grid goes down.
The upcoming Powerwall and Tesla integration feature was first spotted by Model X owner and Reddit user u/cwiedmann.
“Looking through the data returned from the API, I see there’s now evidence of upcoming features for integrating Powerwalls and car charging as Elon mentioned. This appears to be support for preventing car charging from draining the batteries when the grid is down and maybe to allow the car to absorb surplus solar energy,” u/cwiedmann wrote on the r/TeslaMotors subreddit.
When the grid goes down, Tesla Powerwalls can meet the energy demands of a home, including charging an electric car like the Model 3, Model X, or Model S. That being said, there’s a big room for improvement especially when it comes to how a Tesla vehicle communicates with the home battery system. Tesla’s electric cars have massive battery packs after all, and they can drain an off-grid Powerwall if left unattended.
This appears to have happened in May 2019 to Tesla owner Erik Strait, who also runs the YouTube channel DӔrik. Strait brought up the Powerwall issue they encountered in Colorado and suggested features that may come handy to consumers, such as a setting that allows the home battery system to prevent cars charging when they are off the grid. Tesla CEO Elon Musk responded with a brief “Coming soon.”
Coming soon
— Elon Musk (@elonmusk) May 22, 2019
Elon Musk posted his response to the Tesla owner-enthusiast last May, and there have been few updates on the feature since. Nevertheless, references to the feature in the Powerwall’s API today suggests that the home battery-electric vehicle integration may be coming sooner than expected. How the functionality will be rolled out remains to be seen too, but there’s a good chance that Tesla may introduce the feature through an over-the-air update, similar to how the company activates “Storm Watch” for Powerwall-equipped homes located in areas that are facing natural disasters.
Ultimately, the upcoming Powerwall feature shows that Tesla is making a lot of headway in integrating key features of its energy products and its electric cars. This ecosystem could ultimately encourage buyers of Tesla’s electric cars to adopt the company’s energy and battery storage products too, similar to how Apple has encouraged customers to purchase devices within its product line due to their feature integration.
Very early on, we had the ability to use the car as a battery outputting power. Maybe worth revisiting that.
— Elon Musk (@elonmusk) July 4, 2018
These recent observations on the Powerwall API also invoke some thoughts on a feature that was mentioned by Elon Musk back in 2018. In a tweet then, Musk noted that it may be worth revisiting the idea of using its cars as batteries that output power, similar to a V2G (vehicle-to-grid) system. Tesla does seem to be exploring this idea recently, as hinted at by the Cybertruck’s capability to use its massive battery pack to power tools from its onboard outlets.
Teslarati will update you once the Powerwall-Tesla electric vehicle integration feature goes live. For now, this is a welcome development so the habit of “always be charging” does not lead one to a home without power. But of course, there’s always Camp Mode just in case.
Upcoming Powerwall/Vehicle Integration API Leaks from r/teslamotors
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
