News
SpaceX on a roll with latest small satellite launch contract wins
Rideshare organize Exolaunch has announced a multi-spacecraft launch contract with SpaceX, continuing a streak of success enjoyed by the launch company’s Smallsat Program over the last several months.
While Exolaunch declined to confirm the mass of the payload or the number of satellites it manifested on a SpaceX Smallsat Program launch, the German company has likely arranged for 5-10 customer satellites to travel to orbit on Falcon 9. Known as a launch services provider, Exolaunch is effectively a middleman company tasked with connecting small satellites – typically cubesats in the 1-50 kg (1-125 lb) range – to rideshare launch opportunities on much larger rockets.
At face value, SpaceX’s Smallsat Program offers an extremely poor deal for individual cubesat owners on the market for launch services. However, through a growing number of flight-proven organizers like Exolaunch, Nanoracks, and others, markets and actual hardware are being developed to give the many hundreds or thousands of potential customers a cheap and reliable way to space. Uncertainties undoubtedly remain but SpaceX appears to be well on its way to securing a range of relatively valuable keystone customers, potentially becoming the go-to option for smallsat launches.

While it sounds deceptively simple, it’s looking more and more like SpaceX’s Smallsat Program has been an extremely strategic and forward-looking play, setting the company up to be a bit like the spaceflight equivalent of an ocean freight provider. Effectively the invisible backbone of the global economy, modern shipping is incredibly efficient and effective in large part because of the adoption of standardized shipping containers.
Just like oceanic shipping, the cost of transporting an entire shipping container is uneconomical for the vast majority of customers in search of logistics services. Instead, 3rd parties typically acquire space and then sell portions of each container’s volume inside to smaller customers. Companies like Exolaunch, Nanoracks, and more are essentially trying to become those third parties, albeit in a world where the standard shipping container has yet to be developed.

Exolaunch’s ‘Exopod’ is one of several such orbital-shipping-crates-in-waiting and will fly on SpaceX’s first dedicated rideshare mission, scheduled to launch no earlier than (NET) December 2020. Critically, providers like Exolaunch – tasked with deploying multiple customer satellites in orbit – can require an overall payload heavy enough for SpaceX’s pricing to be spectacularly competitive. Assuming an Exopod is ~50 kg and can store four 3U cubesats weighing ~10 kg each, Exolaunch would have to pay SpaceX just ~$1M to launch a full pod.
Add a 25% overhead for Exolaunch’s own costs and those four satellites could reach orbit for something like ~$300,000 apiece. In reality, it’s likely possibly for costs to be even lower, but it serves to show how 3rd-party service providers can offer prices lower than the launch company’s own catalog.

Aside from Exolaunch, SpaceX has won several smallsat launch contracts from Nanoracks (partially a services provider like Exolaunch), Momentus (a space tug company with more than a dozen of its own satellite customers), Kepler (an Internet of Things satellite constellation company), as well as several smaller orders. SpaceX’s growing relationship with Momentus is particularly interesting as the latter company’s goal is to develop cheap orbital tugs, deploying satellites at the exact orbits they want even if launched as part of a rideshare. Momentus has already bought slots for its Vigoride space tugs on five SpaceX rideshare launches, beginning as early as December 2020.
Ultimately, while the economics of rideshare launches on vehicles as large as Falcon 9 remain extremely unforgiving, SpaceX appears to be in it for the long haul and has certainly won an impressive number of launch contracts in just the last few months. SpaceX’s first Smallsat Program rideshare could happen as early as June 2020, hitching a ride on one of the two-dozen internal Starlink missions planned this year. The first dedicated rideshare is working towards its own December 2020 launch debut.
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.