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Gefion, Danmark’s new #AI supercomputer, was launched today. A state-of-the-art #NVIDIADGX SuperPOD with 1528 NVIDIA H100 Tensor Core GPUs, it is ready to accelerate research in #quantum, #healthcare and #greentech. The Novo Nordisk Foundation works with Danmarks Eksport- og Investeringsfond and NVIDIA to accelerate AI driven innovation. Eviden Digital...

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Novo Nordisk Foundation

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152,509 次观看 • 1 年前 •via X (Twitter)

健康养生科学技术#AI#NVIDIADGX#quantum#healthcare#greentech
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Mikkel Rasmussen 的头像
Mikkel Rasmussen1 年前

@Eifo_fond @nvidia But can it run Crysis?

Jimmi Andersen 的头像
Jimmi Andersen1 年前

@Eifo_fond @nvidia Name 1 thing novo has done for humanity? I can’t name a single one. Not one. They don’t promote health, but health subscription while making you sick.

AIA 的头像
AIA1 年前

@Eifo_fond @nvidia Intelligence to spy on the people!

Christoffer Dyre 的头像
Christoffer Dyre1 年前

@Eifo_fond @nvidia Det er fedt, med sådan et værktøj. Find på nogle fede ting, kloge mennesker.

Ditte Karina Nielsen 的头像
Ditte Karina Nielsen1 年前

@Eifo_fond @nvidia Jesus Christ, what a show off !

Anders Højsted (Inactiv) 的头像
Anders Højsted (Inactiv)1 年前

@Eifo_fond @nvidia Ja, ja....men kan den køre Crysis?

Mr. A 🎩 的头像
Mr. A 🎩1 年前

Så skal der bearbejdes ansigtsgenkendelse! 💩 Spøj til side - så ka det være vi snart får et funktionelt ejendomsvurderingssystem... Ok, spøj til side rigtigt nu. Det kunne være spændende med en realtime, offentligt tilgængelig liste over præcis hvem der bruger maskinen til præcis hvad 24/7.

Connie Lee Terndrup 的头像
Connie Lee Terndrup1 年前

@Eifo_fond @nvidia I am almost giddy with excitement- the possibilities are endless! This tool in the hands of brilliant danish scientists will surely bring about wonderful discoveries! Proud moment in danish history!

Claus Siegaard 的头像
Claus Siegaard1 年前

@Eifo_fond @nvidia Stort og tak ♥️ Håber i ofte fortæller hvilke opgaver den har arbejdet på og løst.

Jette Tuldi 的头像
Jette Tuldi1 年前

@Eifo_fond @nvidia Our wonderful king 🤴🏻

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$INFQ CEO says finding errors in quantum computing is easy but tracing them back to the root cause is hard. It’s an inference problem. The goal is to use Nvidia NVQLink to accelerate the correction of those errors. The consensus architecture for the foreseeable future is hybrid: Quantum computers work in unison with GPUs. Given that $INFQ is already included in the NVQLink ecosystem, isn’t this a bull case for both Nvidia and $INFQ?
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“There's two reasons why we're building Nemotron. The first is because it helps us build the GPUs and systems for the future.” The second reason is because trust is the foundation of impactful AI–and it starts with understanding. That’s why Nemotron was built open source at its core—so developers, researchers, and enterprises can build together. Hear from Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, on why making AI open benefits everyone. 👉

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