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SpaceX will launch its Mars spaceship into orbit as early as 2020

SpaceX fan creates impressive CGI of BFR launch and landing [Credit: Hazegrayart via YouTube]

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First spaceship prototype already under construction

Speaking on a launch industry round-table at the Satellite 2018 conference, SpaceX President and COO Gwynne Shotwell revealed that the company intends to conduct the first orbital launches of BFR as early as 2020, with suborbital spaceship tests beginning in the first half of 2019.

Only six months after CEO Elon Musk first debuted the Interplanetary Transport System in Adelaide, Australia, a flood of recent comments from both executives have made it overwhelmingly clear that SpaceX intends to have its first spaceship ready for short suborbital test flights at the beginning of 2019. Considering Musk’s unprovoked acknowledgment at SXSW 2018 of his tendency towards overly optimistic timelines, the repeated affirmations of BFS test flights beginning in 2019 and now an orbital launch of the full BFR booster and ship in 2020 hold a fair deal more water than they did in 2017.

SpaceX’s subscale Raptor engine conducting a 40-second test in Texas. This engine will power both BFR and BFS. (SpaceX)

Breaking it down

These past few weeks have been filled with a number of similar statements from SpaceX executives like Shotwell, Musk, and others; all focused in part on the company’s next-generation launch vehicle, BFR (Big __ Rocket). Composed of a single massive booster and an equally massive second stage/spaceship (BFS), the rocket is meant to enable the affordable expansion of permanent human outposts on Mars and throughout the inner solar system by making good on the decades-old promise of fully reusable launch vehicles.

In order to succeed, the company will need to solve the problems that NASA and its Shuttle contractors never could.

To an extent, SpaceX has already matured the principles and technologies needed to reliably recover and reuse the booster stage of two-stage rockets, demonstrated by their incredible success with Falcon 9.

BFR is a whole different animal, partly owing to its massive size, huge thrust, and new propellant and tankage systems, but those problems are more technical than conceptual. SpaceX already knows how to reuse boosters, and that will apply to BFR once its several technological hurdles have been overcome. Designing and building the orbital spaceship (BFS), however, will undoubtedly be the most difficult task SpaceX has yet to take on. The safety and cost records of the only other orbital-class reusable second stage in existence, the Space Shuttle, are at least partially indicative of the difficulty of the challenges ahead of SpaceX.

In order to succeed, the company will need to solve the problems that NASA and its Shuttle contractors never could – they will need to build an orbital, crewed spaceship that can be reused with minimal refurbishment, can launch for little more than the cost of its propellant, and does so with safety and reliability comparable to the records of modern commercial airliners – perhaps the safest form of transport humans have ever created.

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Space Shuttle Atlantis docked with the beginnings of the International Space Station. The Shuttle suffered several deadly failures and cost more than the expendable Saturn V moon rocket it replaced. (NASA)

Rockets do not easily lend themselves to such incredible standards of safety or reliability – airliners average a single death per 16 million flights – but SpaceX will need to reach similar levels of reusability and reliability if they hope to enable even moderately affordable spaceflight or Earth-to-Earth transport by rocket. Still, there can be little doubt that SpaceX employs some of the absolute best engineering expertise to have ever existed in the US, and their extraordinary personal investment in the company’s goal of making humanity multi-planetary bode about as well as could be asked for such an ambitious endeavor. According to Musk and Shotwell, the first spaceship is already being built and suborbital tests will begin as soon as 2019, while full-up orbital launches – presumably involving both the booster and spaceship – might occur just a single year later in 2020.

It appears that we will find out sooner, rather than later, if SpaceX has truly found a way to lower the cost to orbit by several orders of magnitudes. Follow us for live updates, behind-the-scenes sneak peeks, and a sea of beautiful photos from our East and West coast photographers.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo

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

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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. 

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“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.”

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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.

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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.

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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.”

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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. 

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Elon Musk’s xAI closes upsized $20B Series E funding round

xAI announced the investment round in a post on its official website. 

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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.”

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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. 

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