Connect with us

News

Tesla won’t be shipping cars from Shanghai to India: Transport Minister

Tesla Gigafactory Shanghai General Assembly (Credit: Tesla)

Published

on

Tesla will not be shipping its electric vehicles made at Gigafactory Shanghai in China to India, the country’s Transport Minister, Nitin Gadkari, reiterated during a government conference on Tuesday.

Gadkari is only repeating what he said in late 2021 as Tesla continued to negotiate with Indian politicians on terms that would allow the electric automaker to test demand in the country before committing to build a production facility there. However, Tesla wants to test demand by importing vehicles that it builds in other countries: most likely from Gigafactory Shanghai in China or Gigafactory Berlin in Germany, which just opened in the first quarter.

India is unwilling to agree to those terms and has been trying to push for Tesla to consider committing to a new production facility in India. Tesla CEO Elon Musk said last year that it would test demand in the country through imports before committing to a facility, but Indian officials are unwilling to budge over a year after Tesla registered itself as a company with the country’s economic ministry.

Gadkari said at the conference on Tuesday, according to Reuters, “Making in China and selling here is not a good proposition.” It is essentially the same thing he said in late 2021 when he also denied any potential talks of Tesla shipping cars from China to India. “I have told Tesla that don’t sell electric cars in India, which your company has manufactured in China. You should manufacture electric cars in India and also export cars from India,” Gadkari told the Hindu Stan Times. “Whatever support you (Tesla) want, will be provided by our government.”

While Tesla and India have worked diligently to reach a deal that would allow the automaker to test demand through imports and India to have a firm commitment from Tesla to build a production facility there, relatively no progress has been made. India has a primary focus on boosting local manufacturing as a part of Prime Minister Narendra Nodi’s “Make in India” campaign, which was launched nearly eight years ago.

Advertisement
-->

We reported in January that, although the Make In India program has been in effect for several years, it has not been overly successful. Within the first five years of the initiative, India’s manufacturing GDP was the lowest it had been in twenty years. It dropped 1.2% in the first five years following the launch of Make In India, although the growth rate of manufacturing globally increased 6.9% from 2014-15 to 2019-20. $27 billion has been set aside by India to make this program successful, and although Tesla’s vehicles have been the best-selling EVs globally, it is a massive gamble to think it would unequivocally be an identical situation in India just because the cars sell well elsewhere.

Tesla’s ‘challenges’ with India gov’t halt potential rescue of $27B manufacturing initiative

What the future holds for the Tesla-India partnership is up in the air. It seems that, until one side is willing to budge from their needs in the deal, talks will not advance. India has set aside too much money and too much time to increase domestic manufacturing efforts, and Tesla’s potential India Gigafactory will cost billions of dollars to build and billions more to operate, which is too much of a financial liability for the company to assume.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Advertisement
-->

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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