News
NASA installs SpaceX-delivered docking adapter for Crew Dragon, Boeing Starliner missions
Launched on July 25th, SpaceX’s CRS-18 Cargo Dragon successfully docked with the International Space Station (ISS) a few days later, delivering a major piece of space station hardware in its unpressurized trunk.
Known as International Docking Adapter 3 (IDA-3), the docking port will quite literally open the door for future commercial missions to the space station. Some 25 days after arriving at the ISS, NASA astronauts Nick Hague and Andrew Morgan performed a six-hour spacewalk (also known as an extra-vehicular activity or EVA) on August 21st, over the course of which they successfully installed IDA-3 on the outside of the space station.
On Monday, August 19th, IDA-3 was extracted from Cargo Dragon’s expendable trunk using Canadarm-2 and stored a few feet away from the Pressurized Mating Adapter 3 (PMA-3) on the station’s Harmony module. The PMA-3 is a leftover from the days of Space Shuttle and has thus been unused since 2011 – IDA-3’s installation means that the old hardware will be able to finally return to operational use.
The successful spacewalk was the fifth of this year and 218th overall. Astronauts Nick Hague and Andrew Morgan worked outside of the ISS to complete the tethering process and install power and data connectors, spending much of the 6.5 hours simply attaching and routing new cabling, extremely difficult to do in NASA’s semi-rigid EVA spacesuits. Astronaut Christina Koch assisted the duo from inside the station.
IDA-2, IDA-3’s predecessor, was successfully installed way back in August 2016, while the docking port was used for the first time ever just six months ago, when SpaceX’s Crew Dragon spacecraft – as part of its inaugural orbital launch – autonomously docked at IDA-2 on March 3rd, 2019. IDA-1 was sadly destroyed after a Falcon 9 upper stage failed catastrophically in June 2015, resulting in the total loss of Cargo Dragon CRS-7 and its array of ISS-bound cargo. Although far from the first, IDA-3 is still an extremely important addition to the ISS, particularly with respect to assuring redundancy and future accessibility for numerous spacecraft.
IDA’s are meant to serve as truly international ports, built by Boeing from a partially open-source design with parts from companies located in 25 different states and primary structures produced by Russian company RSC-Energia.
Both adapters feature a standard design, uniform docking requirements, and fittings for power and data transfer, all of which which are readily available to spacecraft designers to help streamline and simplify docking procedures. The IDA (technically, IDSS) standard has been adopted by both SpaceX’s Crew Dragon and Boeing’s CST-100 Starliner, while Russia may also adopt the standard on its next-generation Federation spacecraft, meant to replace Soyuz sometime in the 2020s.
Both US capsules – currently in various stages of production and flight preparations – will be able to autonomously dock with either IDA-2 or -3, as will SpaceX’s Crew Dragon-derived Dragon 2, to be used for SpaceX’s Commercial Resupply Services 2 (CRS2) contract. With two IDA adapters, a SpaceX and Boeing crew capsule or two SpaceX Dragon 2s could simultaneously dock with the ISS.
Unlike the berthing process used by Cargo Dragon, Cygnus, and (prospectively) Dream Chaser, the docking adapters allow for spacecraft to perform autonomous docking maneuvers. Berthing instead involves the spacecraft in question station-keeping just a few meters away from the ISS while astronaut operators manually ‘grab’ the spacecraft with a giant, robotic arm known as Canadarm2.
While the installation of a second adapter is certainly a step in the right direction to support a larger commercial customer base, there are many more steps to get through before the ISS can begin to support regular visits from Crew Dragon and Starliner. Both SpaceX and Boeing are hopeful that their capsules will be ready for their crewed launch debuts (Demo-2 and OFT, respectively) before 2019 is out, although delays into 2020 are extremely likely for both NASA Commercial Crew providers.
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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
