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SpaceX’s Starship Moon lander passes NASA review alongside Blue Origin, Dynetics

Pictured on the left, SpaceX's lunar Starship is a customized version of the baseline ship meant to land NASA astronauts on the Moon. (SpaceX)

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A variant of SpaceX’s Starship spacecraft optimized to land NASA astronauts on the Moon has passed the space agency’s first review alongside competing teams lead by Blue Origin and Dynetics.

Aside from reiterating the fact that NASA is drawing heavily from its experience with the Commercial Crew Program (CCP), the completion of “certification baseline reviews” for Blue Origin, Dynetics, and SpaceX’s proposed lunar landers is a significant step forward for the Human Landing System (HLS) and Artemis programs. According to NASA’s official HLS “Broad Agency Announcement” or BAA, providers must submit a vast amount of paperwork and data to pass the certification baseline review (CBR).

NASA’s acceptance criteria for CBR documentation is about as general as the space agency gets, requiring providers to demonstrate at least a basic level of maturity and expertise. Like the name suggests, it sets a baseline from which NASA and SpaceX, Dynetics, and Blue Origin’s National Team will hone in on challenges and concerns specific to each system. SpaceX’s proposal is almost certainly unique, however, given that the company is the only one anywhere close to performing actual flight tests of a (relatively) similar system.

Pictured on the left, SpaceX’s lunar Starship is a customized version of the baseline ship meant to land NASA astronauts on the Moon. (SpaceX)

After much fanfare, NASA finally revealed its first real Human Landing System contracts on April 30th, 2020, awarding funds to Blue Origin, Dynetics, and SpaceX to develop three extremely dissimilar Moon landers. Designed to ferry NASA astronauts from a deserted lunar orbit (near-rectilinear halo orbit, NRHO). NASA initially refused to delineate the distribution of the $967 million contract.

A list of the HLS Certification Baseline Review (CBR) “acceptance criteria and products”. (NASA)

Several news outlets later reported that Blue Origin’s “National Team” (including Draper, Lockheed Martin, and Northrop Grumman) received $567 million to develop a complex three-stage system, using Blue Origin’s existing Blue Moon lander work for the final descent stage and lander. Dynetics won $253 million to build a slightly more familiar single-stage lander and SpaceX received $135 million for a single-stage Starship-derived vehicle.

The main goal of NASA’s initial funding is to extensively characterize and understand the capabilities and characteristics of each proposal and the likelihood that each vehicle will actually be ready to land humans on the Moon by the end of 2024. The next major HLS milestone will be what the space agency calls a “continuation review,” in which NASA will likely downselect to one of the three landers above. Administrator Jim Bridenstine says that NASA may decide to proceed with more than one provider but the strong implication is that only one will exit the ~December 2020 continuation review with future funding.

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(SpaceX)
Unlike Blue Origin and Dynetics, SpaceX has already flight-tested multiple full-scale Starship prototypes. (SpaceX)

For SpaceX, it appears that the company will almost certainly field an orbit-capable Starship and Super Heavy booster with or without external help. At this point in the program, it would take a major upset for SpaceX not to be ready to start orbital Starship launch attempts in 2021. To an extent, SpaceX has proven through Falcon 9, Falcon Heavy, and Crew Dragon that it’s capable of developing reliable, reusable, industry-leading rockets and spacecraft several times more cheaply than its closest competitors.

To build a Starship safe and reliable enough that SpaceX can convince NASA to land astronauts on the Moon with it, the company will effectively have to prove that it can cut the cost of rocket production by another factor of five or ten. Time will tell where NASA’s HLS cards fall just a few months from now.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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Tesla just trademarked MEGAPOD: here’s what it is

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(Credit: Tesla)

Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.

The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.

The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.

According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:

“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”

This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.

Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.

This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.

Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’

Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.

In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.

What is Digital Optimus? The new Tesla and xAI project explained

A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.

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SpaceX is launching a secret spacecraft that could change how things are made in space

SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.

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SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.

What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly  10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.

The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.

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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.

The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.

SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.

If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.

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Tesla Semi spotted with ground truth validation equipment as launch looms

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Credit: Tesla

The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.

The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:

The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.

There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.

Tesla Semi gets strange-but-understandable comparison from Jay Leno

The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.

There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.

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