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SpaceX Falcon rockets win yet another Moon lander launch contract

For the second time in 2021, Intuitive Machines has announced a Falcon 9 launch contract for a commercial Moon lander. (ispace/Astrobotic/Masten Space/Intuitive Machines)

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In a bit of déjà vu, SpaceX’s Falcon rockets have secured yet another contract to launch a commercial Moon lander – this time from company Intuitive Machines.

SpaceX’s eighth Moon lander launch contract overall and seventh scheduled Moon lander mission in the 2020s, Intuitive Machines revealed its third contract with SpaceX – a mission known as IM-3 – on August 10th. Like IM-1 and IM-2, IM-3 will rely on Intuitive Machines’ 1900 kg (~4200 lb) Nova-C lander. The company has upgraded the lander’s performance since its last contract and now says that IM-3 will deliver up to 130 kg (~290 lb) – not 100 kg, as previously stated – to the lunar surface.

According to Intuitive Machines, IM-3 will launch no earlier than Q1 2024 and carry its 130-kilogram cargo to the Moon – though IM has yet to say where on the Moon it’s headed. In a unique twist, the company has implied that it purchased an entire Falcon 9 launch for the mission and will be able to support up to one ton (~2200 lb) of rideshare payloads as a result.

It’s unclear if some or all of that one-ton rideshare allotment will be able to tag along all the way to lunar orbit or if those extra spacecraft will have to deploy shortly after reaching orbit. Either way, given the total payload mass of just three tons (~6600 lb), IM-3 will be an extremely rare opportunity for nano, cube, and small satellites to hitch a ride to a very high elliptical Earth orbit – and possibly all the way to cislunar space.

A recoverable Falcon 9 rocket like the one IM-3 will launch on is capable of delivering at least 3.3 metric tons (~7300 lb) to a trans-lunar injection (TLI) trajectory – directly to the Moon, in other words. Nova-C will still need to use several hundred kilograms of propellant to enter lunar orbit once it reaches the Moon but a TLI launch would allow for a significantly more efficient landing – possibly explaining how Intuitive Machines’ Nova-C payload jumped from 100 to 130 kg in the last year or two.

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Intuitive Machines’ three planned Nova-C lander missions will all launch on SpaceX Falcon 9 rockets. (Intuitive Machines)

IM-3 is the third Moon lander launch contract win for SpaceX in 2021 alone, following on the footsteps of IM-2 in January 2021 and Firefly Space’s first Blue Ghost mission in May 2021. All told, SpaceX Falcon 9 and Falcon Heavy rockets are now scheduled to launch a minimum of eight commercial Moon landers in 2022 and 2023 – launch contracts that are likely worth at least $300M to $400M.

For the time being, it looks like SpaceX’s exceptionally affordable reusable Falcon rockets will continue to dominate the commercial launch industry and especially corner the market for high-energy launches to the Moon.

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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Waymo kicks off initial tests in Japan with launch event

Waymo launches early tests in Japan, as Tesla and others look to roll out their own commercial robotaxi services.

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Credit: Waymo

Commercial robotaxi company Waymo held a launch event in Japan last week, as the company prepares to enter early manual testing on its first international roads.

After Waymo shared plans to start testing vehicles in Japan in December, the Google-owned firm detailed the launch event in a press release on Monday. The event featured officials from project partners GO, a taxi platform, and Nihon Kotsu, the largest taxi company in Tokyo, along with featuring one of the company’s camera-, lidar-, and radar-outfitted Jaguar I-Pace units, expected to begin manual testing around Tokyo in the weeks to come.

Ichiro Kawanabe, Board Director at Nihon Kotsu and Chairman at both GO and the Japan Taxi Association, said that Waymo’s U.S. operations “demonstrated significant safety benefits,” along with thanking the company for hosting the event at the newly developed Takanawa Gateway City complex.

“I took my first ride with Waymo in Phoenix a year and a half ago and was amazed that there was really no one in the driver’s seat,” the chairman said. “That was the moment I was convinced that autonomous driving technology could absolutely benefit Japan. It will help ensure mobility service in the future of Japan, with the growing aging population and labor shortage.”

Credit: Waymo

Credit: Waymo

This spring, Nihon Kotsu taxi operators will start driving Waymo vehicles across several Tokyo wards this spring, including Chiyoda, Chūō, Kōtō, Minato, Shibuya, Shinagawa, and Shinjuku. The tests will utilize 3D maps of the city, along with utilizing experienced drivers to generate data about traffic laws, patterns, and other road systems ahead of fully autonomous operation.

“After months of strong collaboration with Nihon Kotsu and GO, Waymo has reached a historic milestone— our first venture on international public roads,” said Nicole Gavel, Waymo Senior Director and Head of Business Development and Strategic Partnerships.

“Our partnership demonstrates how Waymo’s 15 years of operational expertise can adapt to new environments through strategic initiatives with industry leaders,” Gavel adds. “In Tokyo, we are abiding by the same steadfast principles that guide us in the U.S. — commitment to safety, dedication to earning trust in communities where we operate, and collaboration with local officials and community groups here in Tokyo.”

The news comes as Tesla, Amazon-owned firm Zoox, and still others are racing to enter the commercial robotaxi business throughout this year. It also comes amidst widespread speculation and debate about the emerging market, and as Tesla and Waymo both aim to begin operations internationally.

READ MORE ON WAYMO: Waymo study analyzes collisions with vulnerable road users

Tesla’s FSD in China, Mexico, commercial robotaxis still incoming

Waymo is already operating paid autonomous ride-hailing services around the U.S., and it said in December that it was giving more than 200,000 autonomous rides per week.

The company currently offers Waymo services in San Francisco and Los Angeles, California, Phoenix, Arizona, and, through a partnership with Uber, in Austin, Texas, where Tesla has a Gigafactory and plans to launch initial robotaxi services. The Alphabet-owned company is also aiming to launch services in Atlanta, Georgia and Miami, Florida this year, alongside its early tests in Tokyo.

Although Tesla doesn’t currently operate driverless ride-hailing in any capacity, individual owners in North America can purchase or subscribe to its Supervised Full Self-Driving (FSD) system, on which the company’s forthcoming robotaxi platform will be based. In October, the company unveiled the two-seat Cybercab vehicle, which has no steering wheel or pedals and will be used for the upcoming commercial robotaxi system.

Additionally, the company is aiming to launch its first unsupervised rides commercially in Austin in June, and it recently debuted Supervised FSD in China and Mexico, marking the company’s first international markets.

Waymo vs. Tesla vs. the competition

While Tesla hasn’t quite gotten a commercial robotaxi service to market yet, Waymo, Amazon-owned company Zoox, and still many others have begun their own paid ride-hailing services or early tests. Meanwhile, Tesla’s approach to the technology is vastly different than that of Waymo and others, utilizing a camera-only, AI-trained neural network system, rather than 3D geomapping.

For one, the company can generate a larger pool of training data from real-time driving behavior of its individual owners, for instance as compared to Waymo’s use of a more-limited fleet of taxi drivers. Many argue that this, along with the cost-effectiveness of producing a system that’s built into every vehicle and utilizes only cameras, make the system more scalable than those of Waymo and others.

Still, some support the use of more than just camera systems and building in sensor redundancy as a way to maximize safety, especially as the technologies are still fairly new. Former Waymo CEO John Krafcik, who was a part of the company until 2021, criticized the FSD system in December for not including enough safety measures to support a realistic commercial robotaxi business, and he went on to call Tesla “a car company with a driver-assist system.”

“If a company were serious about building a safe and accessible robotaxi business, it would look nothing like what was shown,” Krafcik said during an interview. “The cost of a robust sensor set, including lidar, is trivial on a per-mile basis. Even more so for mapping. And the safety benefits measured in human harm reduction are real and verifiable.”

Waymo valued at over $45 billion following latest financing round: report

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Nvidia starts production on first AI supercomputers built in U.S.

One Nvidia factory in the U.S. has already come online, while two others are expected to reach mass production in 12 to 15 months.

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Chip manufacturer Nvidia has officially started production of AI supercomputers at multiple U.S. factories operated through partnerships, marking the first such hardware to be built within the country.

On Monday, Nvidia announced that its Blackwell chips have begun production at a factory operated in partnership with TSMC in Phoenix, Arizona, as detailed in a press release. The chip maker also continues to work on the construction of two future factories to be operated in Texas, in partnership with Foxconn in Houston and Wistron in Dallas.

Nvidia says that mass production of the Blackwell GPUs is expected to ramp up at both Texas facilities within the next 12 to 15 months, together with the Arizona factory representing a total of over a million square feet of U.S. manufacturing space.

“The engines of the world’s AI infrastructure are being built in the United States for the first time,” said Jensen Huang, Nvidia Founder and CEO. “Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.”

The manufacturer also says that it aims to produce up to $500 billion worth of AI infrastructure in the U.S. within the next four years, through these partnerships and others with Amjor and SPIL. Nvidia also expects the facilities to create hundreds of thousands of jobs, along with driving trillions of dollars in economic security in the decades to come.

READ MORE ON NVIDIA: Elon Musk explains reasoning for Nvidia chip re-route from Tesla to X

Blackwell chips were designed for use in high-powered AI data center applications, and the news comes as Elon Musk’s xAI, Tesla, and several other companies are working to expand their infrastructure for supercomputing. It also comes amidst an ongoing tariff war launched by the Trump administration, which is expected to hit a wide range of products, including semiconductor chips.

Musk estimated last year that Nvidia purchases would comprise roughly $3 to $4 billion of Tesla’s $10 billion AI expenditures, and the company spent much of the year constructing a massive supercomputing cluster at its Gigafactory in Texas. The location houses 50,000 Nvidia H100 supercomputing chips, used to help train Tesla’s Full Self-Driving (FSD) system, and Musk also said last June that the facility’s power needs would increase from 130MW to over 500MW in around 18 months.

Additionally, Musk’s xAI began operations at a Memphis, Tennessee facility with 100,000 Nvidia H100 and H200 units last July, and the site is in the process of being expanded to 200,000. Nvidia was also a strategic investor in a $6 billion Series C investment into xAI, alongside fellow GPU manufacturer AMD.

Weeks before the funding was announced in December, it was also reported that xAI had gained a $1.08 billion priority Nvidia order of GB200 AI servers, after Huang was personally approached by Musk.

Musk says xAI has acquired X in $33 billion stock deal

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Underrated Tesla safety feature recognized by China Automotive Research Institute

Teslas are not just safe from electromagnetic radiation—they are among the safest vehicles in the market when it comes to radiation protection.

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Credit: Tesla China

Electric vehicles like Tesla have become very common today, but this does not mean that they are immune to misinformation campaigns. One of these points of FUD (fear, uncertainty, and doubt) relates to EVs’ alleged electromagnetic radiation, which is supposedly a potential heath risk.

As per the China Automotive Research Institute, however, Teslas are not just safe from electromagnetic radiation—they are actually some of the safest vehicles in the market when it comes to radiation protection.

Tesla Model 3 and Model Y’s Results

As per Tesla China VP Grace Tao in a post on Weibo, the idea that electric vehicles expose occupants to electromagnetic radiation is a product of misinformation. As per the Tesla executive, the Model 3’s magnetic field strength near the driver and passenger’s head in the cabin only reaches 0.08-1.30μT, which is far lower than the magnetic field one would be exposed to if they use a conventional electric blanket. 

“Taking Model 3 as an example, the magnetic field strength near the driver and passenger’s head in the car is only 0.08-1.30μT. In most cases, the magnetic field strength of an electric blanket close to the body is about 10-50μT, which is tens or even hundreds of times the strength inside a Tesla car, so car owners can rest assured,” Tao wrote in her post.

Beyond Standards

The Tesla VP added that the electromagnetic radiation values of Tesla’s vehicles are far lower than national and World Health Organization standards. During tests from the China Automotive Research Institute, the Model 3 and Model Y received five-star ratings of 100 and 98.6 points, which were notably better than combustion-powered cars and other electric vehicles that were tested in the same batch.

Tao explained how Tesla was able to achieve these scores below:

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“How did Tesla do it? First of all, our centralized electronic and electrical architecture reduces the number of wiring harnesses a lot, and shielded cables are added, blocking 99.9% of the electromagnetic field energy. In addition, the network transmission antenna is installed outside the car, and the power of the Bluetooth transmitter is only a few milliwatts, so even if the people in the car are equipped with pacemakers, they will not be interfered with,” the Tesla VP wrote.

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