News
SpaceX Falcon 9 fires up ahead of second to last 2019 launch and landing
SpaceX has successfully static fired a Falcon 9’s booster engines ahead of its second to last launch and landing of 2019, on track to make December the company’s busiest month of the year.
About a month after successfully lofting 60 Starlink satellites and 11 days after sending Cargo Dragon on its way to the ISS for CRS-19, SpaceX has two more launch scheduled in 2019: Kacific-1 no earlier than (NET) December 16th and Starlink-2 NET December 30th.
For SpaceX, the turn of the decade will mark the end of an historic year – let alone decade – of milestones for the intrepid commercial space company, including achievements like’s Crew Dragon flawless orbital launch debut, the fourth flight of a refurbished Falcon 9 booster, the first-ever reuse of a flight-proven payload fairing, and a duo of spectacular Starhopper flight tests to name just a few.
First up, SpaceX will fly twice-flown Falcon 9 booster B1056.3 for the third time. B1056.3 previously supported CRS-17 and CRS-18, back to back Cargo Dragon space station resupply missions for NASA. Currently targeting a Monday, December 16th launch, SpaceX is set to place the jointly-owned JCSAT-18/Kacific-1 broadband communication satellite for Japan’s Sky Perfect JSAT Corp. and Singapore’s self-proclaimed “next-generation broadband satellite operator”, Kacific Broadband Satellites.
According to a Kacific, after deploying from Falcon 9 and circularizing into a geostationary orbit some 22,000 miles (36,000km) over the Asia-Pacific region, the JCSAT-18/Kaficic-1 satellite “will stream broadband to 25 nations in South East Asia and the Pacific Islands via 56 spot beams.” All told, the satellite will offer a maximum bandwidth of 70 gigabits per second (Gbps) with each spot beam serving up to 1.25 Gbps.
Kacific was founded in 2013 by CEO Christian Patouraux to provide desperately needed communication services to the Asia Pacific region, “where high prices and unsuitable technology were prohibiting access.” Kacific looks to “provide high speed, affordable and accessible internet to extra-urban, rural, and remote users” with Kacific-1, the company’s first (partially) dedicated satellite.
Ahead of Monday’s launch attempt, the JCSAT-18/Kacific-1 satellite was fully encapsulated inside Falcon 9’s payload fairing, both halves of which SpaceX will try to catch with recovery vessels GO Ms. Tree and GO Ms. Chief in what will be the company’s first simultaneous catch attempt ever. Meanwhile, B1056 has its own recovery attempt penciled in and drone ship Of Course I Still Love You (OCISLY) departed Port Canaveral on December 12th, headed ~650 km (400 mi) downrange. OCISLY arrived at its recovery zone earlier today, as did Ms. Tree and Ms. Chief, now stationed about 140 km (90 mi) further East.
As per usual, Falcon 9 B1056.3 and its expendable upper stage performed a wet dress rehearsal (WDR) and static fire, identical to launch operations minus the rocket actually lifting off. The Kacific-1 mission’s December 16th launch trajectory allows for an 88-minute window from 7:10 pm – 8:38 pm EST (0010-0138 UTC, December 17) and weather forecasts are currently 90% go.
As mentioned, twin fairing recovery vessels GO Ms. Tree and GO Ms. Chief departed Port Canaveral on December 13th in a bid to attempt their first simultaneous Falcon fairing recovery, meaning that each ship will attempt to catch one parasailing fairing half. This mission is technically the second time both ships have port left together for a recovery, but their first whole-airing catch attempt was called off before it could start due to rough seas and high winds in the Atlantic Ocean. Prior to being rechristened Ms. Tree, Mr. Steven suffered severe damage during a planned February 2019 catch attempt, losing its net and two of four arms after the ship was caught in high seas.
Following Kacific-1, SpaceX’s final launch of 2019 – barring delays – will likely be the company’s second dedicated Starlink v1.0 mission, a 60-satellite payload that will almost certainly make SpaceX the world’s largest commercial satellite operator. Starlink-2 is scheduled to launch NET December 30th.
SpaceX will stream Falcon 9’s Kacific-1 launch and landing and the webcast will kick off some 15 minutes before liftoff, NET 6:55 pm ET (23:55 UTC), December 16th.
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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
