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Introducing #Helios, our new high-performance kick stage. Helios is designed to transfer 5+ tons from LEO to GEO in under 24 hours, dramatically cutting customer launch costs and time to operations. Check the design specs 👉

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Impulse Space

22,920 subscribers

435,841 просмотров • 2 лет назад •via X (Twitter)

Наука и технологииНовости и политикаЗдоровье и велнес#Helios
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Комментарии: 8

Фото профиля Scott Manley
Scott Manley2 лет назад

That is a big kick stage

Фото профиля John Kraus
John Kraus2 лет назад

This is epic

Фото профиля Mack Crawford
Mack Crawford2 лет назад

Good thing LC-39A has the ability to support methalox to encapsulated payloads on F9 now. I guess that'll probably be used for more than just Intuitive Machines flights

Фото профиля Massimo
Massimo2 лет назад

Random question... what would it take to put a docking ring on it?

Фото профиля 𝙴𝚖𝚖𝚊𝚗𝚞𝚎𝚕 🇬🇭🦉
𝙴𝚖𝚖𝚊𝚗𝚞𝚎𝚕 🇬🇭🦉2 лет назад

If Helios isn’t being built by an entrepreneur of Kenya descent with a plan to steal an asteroid, we don’t want it.

Фото профиля Faraz
Faraz2 лет назад

I don't understand, if you will burn 14 ton of propellant to go from LEO to GEO? How are you going to get that fuel to LEO in the first place?

Фото профиля Dale 🇨🇦 🆎
Dale 🇨🇦 🆎2 лет назад

Hey, no using Short Ton to describe payloads, bad Impulse. 🫤

Фото профиля Tannah Wainer
Tannah Wainer2 лет назад

@DJSnM I say helios you say deb ! HELIOS

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$MU $SKHY $DRAM Holy Shit $AMD's Lisa Su just spent two full minutes at the 2026 AI keynote raving about HBM4 capacity as the thing that separates Helios from the competition. Not compute. Memory. "When you compare Helios to the competition, we're delivering 15% more compute, 50% more HBM4 memory capacity and memory bandwidth, and 50% more scale-out bandwidth." Notice which number is bigger. "What that means is that every Helios can deliver more performance for the largest models, more capacity for longer context, and the bandwidth to scale across thousands of racks.... More than 18,000 CDNA five GPU compute units, over 4,600 Zen 6 CPU cores, and 31 terabytes of HBM4 memory, all in a single rack." "That's what it takes to run agentic AI at scale. Today, I'm excited to announce that Helios is in full production. We have shipments on track to start at the end of the third quarter and ramping into the fourth quarter in the second half of the year. I can tell you, customer demand for Helios is extremely strong, we're extremely proud of the work that we have done across the leading AI labs to adopt Helios."
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