Connect with us
tesla-giga-shanghai-1-million-model-3-model-y-target tesla-giga-shanghai-1-million-model-3-model-y-target

News

Tesla Gigafactory Shanghai to remain closed until at least Thursday: report

(Credit: WuWa)

Published

on

China’s ongoing Covid lockdowns are still affecting Tesla’s Gigafactory Shanghai facility. As per recent reports, Giga Shanghai’s shutdown has stretched out to at least 12 days, a substantial amount of time that could adversely affect the company’s vehicle production and delivery numbers this second quarter. 

Shanghai has extended its Covid lockdowns indefinitely, likely as a way to curb the growing threat of the Omicron variant. With a record number of cases, Shanghai has all but become the epicenter of the country’s Covid outbreak, which is considered the worst that China has faced since the pandemic began. 

As per a Bloomberg report, electric vehicle maker Tesla has reportedly informed some of its suppliers and employees at Gigafactory Shanghai that the facility would be shut down until at least Thursday. Gigafactory Shanghai’s vehicle production activities have been on pause since March 28, when the city entered into its phased lockdown strategy. The information was reportedly shared by individuals familiar with the matter, who opted to remain anonymous. 

Overall, Tesla has effectively lost about 12 days of vehicle production in recent weeks. This could prove detrimental to Tesla’s second-quarter results, seeing as Gigafactory Shanghai currently stands as the company’s primary vehicle export hub. Last year alone, Gigafactory Shanghai accounted for about half of Tesla’s vehicle production and deliveries, and that’s with the site’s Model Y plant being ramped. 

Tesla China has not issued a comment about these recent reports as of writing. 

Advertisement
-->

China’s ongoing Covid lockdown has already dealt a blow to the country’s economy. However, an uncontrolled outbreak of the virus would likely lead to an even worse scenario. This was something that was highlighted by economist Eric Zhu in a comment to Bloomberg

“Shanghai’s lockdown has dealt a blow to China’s economy. But an out-of-control outbreak would lead to an even worse outcome. Choosing lockdowns — despite their growing costs — suggests China is not yet ready to take an alternative Covid exit path,” Zhu said. 

While Gigafactory Shanghai already plays a substantial role in Tesla’s operations, the company is reportedly looking to expand its presence in China even further. Previous reports have suggested that Tesla is looking to start work on a new Shanghai plant soon, which should be located close to Gigafactory Shanghai. This upcoming facility could help Tesla China ramp its vehicle production to 2 million per year

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

Advertisement
-->

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

News

Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.

Published

on

Credit: Grok Imagine

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. 

Advertisement
-->

“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.”

Advertisement
-->

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.

Continue Reading

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.

Published

on

Credit: xAI/X

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.”

Advertisement
-->

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. 

Continue Reading

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. 

Published

on

xAI-supercomputer-memphis-environment-pushback
Credit: xAI

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.”

Advertisement
-->

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. 

Continue Reading