News
US Air Force issues RFP for massive rockets, SpaceX’s BFR could be one of them
The US Air Force has released a Request For Proposal (RFP) that hopes to fund the development of multiple heavy-lift rocket prototypes to launch no later than 2021. The USAF specified on October 5 that it wants to partially fund prototype development for at least three promising US-sourced launch vehicles, while maintaining the options to select none of the proposals or even more than three. The purpose of these broad strokes is to provide the Air Force and US military in general redundant access to space by way of “at least two domestic…launch service providers” capable of meeting National Security Space (NSS) requirements.
However unlikely it may seem, NASA experienced this firsthand when two of the vehicles it funded, SpaceX’s Falcon 9 and Orbital-ATK’s Antares, experienced complete failures within less than a year of each other. Both vehicle failures destroyed supplies intended for the International Space Station and forced NASA to rely on Soyuz missions to fill the gaps created while producing considerable uncertainty for the agency. By funding two or more independent launch vehicles, the Air Force would lessen the impact of such failures, and this assured access is rightly perceived as an invaluable commodity in the military.
-
- .While SpaceX’s own visualizations are gorgeous and thrilling in their own rights, Romax’s interpretation adds an unparalleled level of shock and awe. (SpaceX)
-
- A render of Blue Origin’s larger New Glenn vehicle. (Blue Origin)
-
- The only current render of OATK’s Next Generation Launcher. (OATK)
Several details in the latest proposal make it relatively easy to name the obvious prospective applicants. The payload requirements necessitate heavy lift or even super-heavy lift launch vehicles capable of placing anywhere from 5,000 to 37,500 pounds into a variety of Earth orbits, ranging from low Earth orbit (~500 mi) to direct transfer geostationary orbits (~19,200 mi). This narrows the field considerably, pushing out all smaller-scale vehicles. Also telling is a requirement that proposed launch vehicles make use of rocket propulsion systems (RPS) already funded for development by the USAF if at all possible.
Considering the inherently complex and difficult process of developing massive rockets, initial launch dates no later than 2021 (or 2024) likely mean that the vehicles being considered must already be under some level of serious development. This leaves us with four possible options in the US, undoubtedly not a coincidence given the RFP’s explicit goal of facilitating the creation of “at least three…prototypes as early as possible” and “at least two domestic…launch service providers”. These four vehicles are SpaceX’s BFR, Blue Origin’s New Glenn, ULA’s Vulcan, and Orbital-ATK’s NGL, all of which already have tentative inaugural launch dates clustered from 2019 to 2022. Perhaps even more revealing, all four vehicles can be expected to utilize several rocket propulsion systems (rocket engines) already funded by the Air Force, namely SpaceX’s Raptor, Blue Origin’s BE-4 and BE-3U, and Aerojet-Rocketdyne’s AR-1.
While the development of BE-4 and AR-1 have been somewhat veiled, SpaceX’s Raptor engine has publicly made a great deal of progress. As discussed during Elon Musk’s IAC 2017 presentation, the company has conducted an array of successful tests with its subscale Raptor program, to the tune of 42 individual hot-fire tests totaling more than 1,200 seconds. Musk also reported that the only thing preventing tests longer than 100 seconds was the size of the propellant tanks at the test stand, a genuinely impressive accomplishment if true. The sticking point, however, is how much difficulty SpaceX will have as they transfer to full-scale Raptor testing. The subscale Raptors being tested have a reported thrust of 1,000 kN, whereas the new full-scale thrust targets for BFR have settled on 1,700-1,900 kN, considerably smaller than the 3,000 kN figure from 2016 but still nearly a factor of two larger than the test articles SpaceX has had success with. In fact, educated speculation from SpaceX fans suggest that the operational Raptor as shown in 2017 may only need to be about 15% larger than the current test article(s). The pressure the full-size engine operates at will be considerably higher, so SpaceX’s work is not done by any means, but the company’s next-gen rocket propulsion system is arguably far closer to completion than any of its competitors’ offerings.
-
- SpaceX’s subscale Raptor engine has completed more than 1200 seconds of testing in less than two years. (SpaceX)
-
- A subscale version of BE-4 testing staged combustion and nozzle technology. (Blue Origin)
-
- Aerojet-Rocketdyne’s AR-1 preburner conducted its first successful test earlier this year. (AR)
As far as we are publicly aware, SpaceX’s subscale Raptor testing has yet to result in a major failure and has largely been a great success. Blue Origin’s BE-4 is known to have experienced at least one critical failure during hot-fire testing, while AR-1 has not yet begun full engine tests but is well into concrete hardware testing. Blue Origin’ s BE-4 engine and its New Glenn rocket are currently expected to fly for the first time before 2020, with AR’s NGL tentatively planning for a 2021 inaugural flight, assuming the company chooses to continue pursuing its development.
SpaceX has not yet specified when BFR or BFS will first take flight. Raptor is likely to begin full-scale testing relatively soon, and Musk revealed that SpaceX was aiming to begin construction of the first BFR as early as Q2 of 2018. It’s quickly starting to look like the U.S. is about to enter a sort of modern commercial space race and regardless of the outcome, the next several months and years are bound to be tense and exciting for SpaceX, Blue Origin, and the established incumbents as they battle for both public and private contracts.
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
