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SpaceX sends Falcon 9’s West Coast drone ship to the Panama Canal in surprise move
In a surprise turn of events, SpaceX has decided to send Just Read The Instructions (JRTI) – one of the company’s two autonomous spaceport drone ships (ASDS) – from Port of Los Angeles to either the Gulf or East Coast.
The likely destination: either Port Canaveral, Florida or Port of Brownsville, Texas. This move comes as the company enters a major lull in launch activities from its West Coast SLC-4 pad, situated in California’s Vandenberg Air Force Base (VAFB). Lacking manifested launches, SpaceX has gone as far as redistributing almost all of its VAFB-based launch team and laying off those that could not move to Texas or Florida. As early as the first half of 2020, this major move east could easily culminate in the end of all West Coast SpaceX fleet activity, aside from a rare fairing retrieval or two.
On June 12th, SpaceX successfully launched what is expected to be its last West Coast mission for at least 6-9 months, while drone ship JRTI was most recently used to recover a VAFB-launched Falcon 9 booster during the January 11th launch of Iridium NEXT-8. Unexpectedly, it appears that Falcon 9 B1049.2’s landing aboard JRTI will be the drone ship’s last West Coast recovery for quite some time.
On August 1st, the approximately 300 foot by 170 foot converted barge departed its well-worn Port of Los Angeles berth behind tugboat “Alice C”. In fact, the drone ship’s departure went unknown for a solid 12-24 hours before a member of the unofficial SpaceX subreddit (/r/SpaceX) discovered paperwork filed with the Panama Canal Authority for an August 15th passage.
Back in January 2019, SpaceX fairing recovery vessel Mr. Steven (now GO Ms. Tree) – in a bit of what now is obvious foreshadowing – began a very similar ~5000 mi (8000 km) journey, traveling from Port of LA to Port Canaveral via the Panama Canal. Mr. Steven, however, is a far faster ship and sustained a solid 15-20 knots (17-22 mph) over the entire voyage, while drone ship JRTI – towed the entire way – will have to suffice with an average speed less than half that.
Where to?
Assuming a day-long canal passage, JRTI’s journey to Port Canaveral or Brownsville would take no less than three weeks (~22 days) from start to finish, indicating a likely arrival at the unknown final destination in the third week of August. The two probable destinations, Texas and Florida, would both arguably make sense.
In Florida, SpaceX drone ship Of Course I Still Love You (OCISLY) is now tasked with handling the vast majority of SpaceX’s non-LZ booster recoveries, including Falcon Heavy center cores. In February 2018, CEO Elon Musk noted that a third drone ship (aside from JRTI & OCISLY) was “under construction” with the intention of allowing SpaceX to conduct Falcon Heavy launches where the center core is expended and both side boosters land at sea.
Perhaps SpaceX analyzed its fairly short West Coast manifest and decided that it would be even faster (and cheaper) to simply send JRTI East. Falcon Heavy’s next (public) launch is scheduled no earlier than late 2020, ruling out that as a primary motivation, but SpaceX is also about to begin operational Starlink launches that will demand an unprecedented cadence. Starlink’s cadence requirements could be so high that a second dedicated drone ship is necessary to prevent SpaceX’s internal manifest from delaying and generally disrupting its customers’ launches, thus explaining JRTI’s move.
At the same time, the spectacular pace of SpaceX’s orbital Starship prototype construction could very well demand the use of a large ocean-based landing platform in the near-term, at least according to Elon Musk’s recent comments on the subject of the first Starship test flights. Per Musk, either or both of SpaceX’s two Starship Mk1 (technically Mk1 & Mk2) prototypes could be ready for their first significant flights as early as September 2019, initially targeting altitudes of at least 20 km (12 mi).
Somewhat coincidentally, Starship’s tripod fin-legs – circa. a September 2018 design update – would actually almost fit inside the span of a Falcon 9 booster’s deployed landing legs (~18m diameter). This is to say that SpaceX’s two drone ships may already be large enough (give or take) to support Starship and Super Heavy booster landings. Given that the SpaceX plans to eventually put one or both of the in-work orbital Starship prototypes through an increasingly intensive series of high-speed, high-altitude (but still suborbital) tests before the first orbital flights, a drone ship may be necessary for the same reasons that not all Falcon 9 boosters can conveniently return to land during recovery.
Regardless of the ultimate purpose of drone ship JRTI’s move, it is undoubtedly a sign that things are about to get even more interesting and exciting in the world of SpaceX.
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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.
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
