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The Register - On-Prem: Systems

Qualcomm teases agentic CPUs and smartphones Fujitsu says quantum and AI will replace mainframes in 2035 ZTE & China's NCRC partner for smart interventional medicine Core Scientific accelerates crypto-to-AI pivot Meta to use millions of AWS Graviton cores AI now gobbling up power and management chips for servers Tesla stakes AI dreams on Intel's unfinished AI chip SK Hynix breaks ground on Indiana advanced packaging plant Datacenter boom keeps dirty coal plants alive in the US AMD's Ryzen 9 9950X3D2 Dual Edition tested World's blandest man steps down from CEO job to spend more time in tastefully appointed home World's blandest man steps down from CEO job Intel eases reliance on TSMC with 'Merica-made Core Series 3 processors Intel eases reliance on TSMC with Core Series 3 CPUs Guide to GPU virtualization: passthrough, vGPU, and MIG Guide to GPU virtualization: passthrough, vGPU, and MIG AI-powered mainframe exits are a bubble set to pop Cloud-smart strategy helps Interactive meet GenAI demands Oracle taps Bloom for fuel cells to support datacenter binge Oracle taps Bloom for fuel cells to support datacenter binge UK signs Rolls-Royce SMR design deal Japan going back to the future by reviving its chip industry Japan going back to the future by reviving its chip industry AWS ponders selling its home-grown chips by the rack-load Supply chain challenges risk delaying Nvidia's Rubin GPUs Supply chain challenges risk delaying Nvidia's Rubin GPUs Supermicro investigating alleged China chip smuggling Intel trapped in Elon's reality distortion field UALink delivers 2.0 spec before v. 1.0 silicon ships OpenInfra General Manager on sovereignty and kill switches Anthropic reveals $30bn run rate, plan to use new Google TPU Nvidia embraces optical scale-up as copper reaches limits Nvidia embraces optical scale-up as copper reaches limits IBM wants Arm software on its mainframes for AI support AI datacenters create heat islands around them, paper finds Arm says AI agents need a new CPU. Intel doesn't buy it Memory-makers' shares are down. Don't blame Google Memory-makers' shares are down. Don't blame Google US PC shipments to fall 13% as memory and storage crunch hits budget systems US PC shipments to fall 13% as memory costs surge ZTE showcases intelligent computing at CloudFest 2026 Rebellions eyes global expansion with rack-scale AI platform Rebellions eyes global expansion with rack-scale AI platform Enterprise infrastructure is entering an economic reset AMD doubles up on V-Cache with 9950X3D2 Dual Edition Apple's making more iPhone bits in US, but not the iPhone Three more charged with trying to smuggle GPUs to China Three more charged with trying to smuggle GPUs to China Dell slims Pro laptops, boosts battery and cooling Alibaba delivers RISC-V server chip optimized for Chinese AI Alibaba delivers RISC-V server chip optimized for Chinese AI AI-pilled Arm CEO teases mystery products for $1T TAM Arm rolls its own 136-core AGI CPU to chase AI hype train SoftBank builds AI mega-datacenter on nuke site SoftBank builds AI mega-datacenter on nuke site Chip tester shrugged off ransomware – then came the leak Explainer: AI-ready servers Elon Musk proposes 'Terafab' to level up chip production Australia to datacenter operators: BYO energy or stay home Australia to datacenter operators: BYO energy or stay home Supermicro co-founder charged over $2.5B GPU sales to China Blue Origin applies to launch 51,000 datacenter satellites Blue Origin applies to launch 51,000 datacenter satellites Alibaba has made 470,000 AI chips, admits they’re inferior Decoding Nvidia's Groq-powered LPX and the rest of its new rack systems Your next car might need 300 GB of RAM, and so will autonomous robots Your next car might need 300 GB of RAM, and so will robots It's not a binary choice: Boffin builds ternary CPU Nvidia H200 back on in China, production ramping: Huang Nvidia slaps $20B Groq tech into massive new LPX racks to speed AI response time AI Burning Man happens next week – what to expect at Nvidia GTC 2026 Meta reveals four Broadcom-built custom AI chips, claims some outperform commercial silicon Meta reveals custom AI chips it says beat Nvidia ZTE and Orange Morocco launch Livebox 7 for smart homes Ayar Labs taps Wiwynn to cram 1,024 GPUs into a photonic rack system Ayar Labs, Wiwynn to cram 1,024 GPUs into photonic system ZTE and Whale Cloud Showcase Digital Transformation at MWC AI datacenters may gulp NYC's daily water supply at peak Mystery outage behind JetBlue's request for grounding HPE tweaks T&Cs so it can change quotes as RAM prices rise Supermicro launches probe after staff charged with China export violations
Orbital datacenter startup admits launch economics don't fly
Tobias Mann Tobias Mann · 2026-04-15 · via The Register - On-Prem: Systems

Systems

Orbital datacenter startup CEO admits launch economics don't fly, presses ahead regardless

Needs SpaceX et al to drop prices and give competitors a ride into space to make it work

A startup called Orbital has revealed a plan to build a 10,000-satellite neocloud in space – if Elon Musk delivers on his ambitious plans to increase launch capacity and reduce costs.

Speaking with The Register, Orbital CEO Euwyn Poon admitted orbital datacenters aren't economically feasible today. "The constellation approach to run AI inference makes sense, but as of today, the economics of launch don't quite work yet," he said.

Poon said the cost to launch one kilogram into space is currently around $7,000, assuming you can catch a ride on one of SpaceX’s Falcon 9 missions.

"Elon's stated goal is around $10 per kilogram, and we need to get there," Poon said. "I believe we'll get there. I think all the pieces are in place. I see that happening, but it's a big, couple orders of magnitude to get to where we need to have an economically viable solution."

Even if Elon’s engineers can hit that target – a valid question given the Musky One’s failed past predictions like putting humans on Mars by 2022 or fielding a million robo-taxis by 2020 – Orbital’s ambitions assume launch companies like SpaceX and Blue Origin, which both plan to create their own orbiting datacenters, will have spare capacity they’re happy to sell to a competitor.

While Orbital waits to see if launch capacity becomes available, the company is working on a satellite roughly the size of four refrigerators put together that houses 100kW worth of gear.

On Earth, cooling a 100kW rack is challenging. In orbit, dispersing heat requires large radiators.

But Poon, whose experience includes running the electric scooter company Spin before it was acquired by Ford, argues the power and heat rejection issues aren't as big a problem as they've been made out to be.

He tells us the satellites will employ a solar array "roughly the size of two halves of a tennis court and a radiator about half that."

Getting the heat from the chips to the radiators is another matter entirely. "Redesigning chip cooling for the space use case is a fun and interesting challenge,” Poon said.

In fact, he argues that 100kW per satellite is really the sweet spot. If they were "10 times the scale, the radiator and solar panels sizes would be unwieldy."

Speaking of the chips, Orbital is keeping things simple. At GTC last month Nvidia teased its Space-1 Vera Rubin module, and that's exactly the chip Orbital aims to launch as part of a proof-of-concept flight planned for next year.

The test flight will use a smaller system to evaluate Orbital’s radiation hardening technology, an important requirement for any computer in space because stray particles that Earth’s atmosphere deflects or absorbs can damage computers in orbit, or just corrupt data.

Fixing flaws in orbiting datacenters isn’t an option, so reliability is essential.

"Servicing is certainly impractical, even at scale we're thinking about it's sort of a non-starter. The real mitigation is avoiding the need for service by testing chips before we put them out there, adding radiation hardening," Poon said.

"I see that as a pretty good first proof-of-concept, but we're excited to just get something off the ground," Poon told us.

This won't be the first proof-of-concept datacenter GPU in space. That launched aboard Starcloud-1, launched by another startup called Starcloud, last December.

Perhaps the biggest challenge in Poon's mind is manufacturing at scale. "Most satellites have been designed for larger payloads with less power requirements. GPU-type server requirements are very different, power hungry, and very light," he said.

Orbital is tentatively targeting 2030 for its first full-scale satellite, but again that's contingent on SpaceX's Starship being ready and launch costs becoming affordable.

Once operational, Orbital plans to scale the constellation much like a terrestrial neocloud using a combination of equity and debt financing to grow the business and acquire the GPUs necessary to power the datacenters.

Poon hasn't ruled out the possibility of offering sovereign constellations.

However, Orbital still has a long way to go before it can realize that goal. On Tuesday, the startup announced it received funding from venture capital fund a16z's speedrun program to get its first flying servers off the ground.

VC funds, of course, assume the majority of companies they invest in won’t get off the ground. Orbital may struggle to do so literally and metaphorically, as may the whole idea of orbiting datacenters: Gartner analyst Bill Ray certainly isn't, describing the trend as peak insanity.

"Datacenters in space won't analyze data on Earth for Earth applications for decades, if ever," he wrote in a February report. ®