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Tesla shares timelapse video of busy Fremont factory lot during Model 3’s final Q2 push
Tesla shared a rare glimpse inside the Fremont factory’s outbound logistics lot during the final week of Q2 2018 — the week when the electric carmaker finally achieved its target of producing 5,000 Model 3 per week. As could be seen in the short timelapse video, Tesla worked around the clock to achieve its goal, with the outbound lot seeing a flurry of activity during the week of June 24.
Particularly notable in the short video was the quick turnover rate of the vehicles that were filling up the outbound logistics lot day in and day out. The timelapse also depicted the consistent stream of delivery trucks hauling vehicles away as soon as the vehicles were rolled out into the lot.
Fremont outbound logistics lot, week of June 24th pic.twitter.com/fUPASRrTBd
— Tesla (@Tesla) July 3, 2018
Tesla’s 5,000/week milestone for Model 3 production was teased Saturday night by some employees at the Fremont factory, and later confirmed by Elon Musk himself in a leaked email. According to Musk, Tesla was not only able to manufacture 5,000 Model 3 during the final week of June; it was also able to sustain the 2,000/week production rate for the Model S &X and produce a total of 7,000 vehicles in 7 days.
The Model 3’s production milestone did not come easy for the electric car manufacturer, however. When Tesla started deliveries for the Model 3 last July, Musk estimated that the company would be able to attain a production rate of 5,000 vehicles per week by the end of December 2017. Due to several production bottlenecks, however, Tesla failed to achieve its goal. The company eventually moved the 5,000/week Model 3 production target to the end of Q2 2018, while placing a target of 2,500 vehicles per week for the end of Q1 2018.
Both Tesla and Musk himself had to dig deep in order to achieve its Q2 2018 production targets for the Model 3. During the quarter, Tesla enacted a 10-day production shutdown for the vehicle in order to make way for additional equipment to be installed on the Model 3 line. Back in May, Tesla also opted to air-freight six airplanes’ worth of robots and equipment from Europe to the United States. A company-wide restructuring was enacted as well, resulting in Telsa trimming off 9% of its workforce. Just like the Model X days, the serial tech entrepreneur and CEO began sleeping on the factory floor, in order to address any issues in the Model 3 line in real-time.
Most importantly, however, Tesla also built the Model 3’s newest assembly line inside a sprung structure set up on the grounds of the Fremont factory. This additional line enabled Tesla to augment its manufacturing capabilities, with the company stating in its Q2 delivery and production that around 20% of Model 3 produced during the June 24 week were assembled inside GA4.
Apart from achieving its self-imposed Model 3 targets, Tesla’s recent moves are also aimed at achieving profitability by Q3 or Q4 2018. According to Musk, it is high time for Tesla to become profitable, especially since most of the pieces are already in place for the company to successfully scale the production of the Model 3. With Tesla now targeting a pace equivalent to 6,000 Model 3 per week, the company is now edging closer to its goal of being profitable.
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
