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SpaceX Cargo Dragon spacecraft returns to Earth after second trip to orbit
A SpaceX Cargo Dragon spacecraft has safely returned to Earth after a month in orbit, completing the company’s 24th successful cargo delivery to the International Space Station (ISS).
Launched on December 21st, 2021, the CRS-24 mission’s Dragon spacecraft docked with the ISS on December 22nd, delivering almost 3 tons (~6600 lb) of cargo to the station and raising the total amount of cargo delivered in 2021 to about 8.5 tons (18,500 lb) – about 40% of all cargo delivered in 2021. After 32 days at the station, Cargo Dragon C209 undocked from the ISS on January 23rd, 2022 and reentered Earth’s atmosphere about 30 hours later, ultimately splashing down off of Florida’s Gulf Coast with 2.2 tons (~4900 lb) of cargo aboard.
Incredibly, just shy of a decade after Cargo Dragon’s first Space Station cargo delivery, SpaceX’s Dragon remains the only spacecraft on Earth capable of returning a significant amount of cargo to Earth. Without it, Europe, Russia, the United States, and dozens of companies would have no way to reliably return large quantities of broken hardware, science experiments, samples, or any number of other cargo items to Earth.
That will only change once the Sierra Nevada Corporation’s (SNC) uncrewed Dream Chaser spaceplane finally begins launching under NASA’s second round of Commercial Resupply Services (CRS2) contracts. When SNC won its CRS2 contract in mid-2016, it had hoped to prepare Dream Chaser for its first demonstration launch sometime between October 2019 and April 2020. Five and a half years later, it looks increasingly likely that Dream Chaser won’t be ready for its first launch until 2023. Worse, the United Launch Alliance (ULA) Vulcan Centaur rocket SNC has tied Dream Chaser to continues to run into delay after delay. Dream Chaser’s first launch will be Vulcan’s second and, as of January 2022, it’s no longer clear if Vulcan will be ready to launch once – let alone twice – this year.
SpaceX says Cargo Dragon 2 is designed to deliver up to 6 tons to the ISS and return up to 3 tons to Earth. SNC says Dream Chaser will be able to deliver up to 5.5 tons and return an unspecified amount. More importantly, though, Dream Chaser will use a larger berthing port and have substantially more space and volume to store its cargo, likely making it far easier for SNC to actually take full advantage of its theoretical performance. Because of its limited volume, Dragon 2 has never launched with even 60% as much cargo as it’s theoretically capable of carrying. For NASA, the more a spacecraft’s performance can be exploited, the cheaper a given cargo delivery effectively becomes.
Due to SNC’s Dream Chaser delays, it’s likely that Dragon will remain the only spacecraft in the world capable of routinely returning a significant amount of cargo to Earth for at least another 9-18 months and 2-4 more cargo launches. Cargo Dragon 2’s next launch – CRS-25 – is scheduled no earlier than (NET) May 2022.
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
