The atmosphere at the NYC AI Summit was absolutely electric. This time, in collaboration with a top-tier technology company, the event not only featured cutting-edge AI technology demos on rotation but also hosted this year's Hackathon—three consecutive days where student developers used GB10 technology on Dell Pro Max devices to create the next-generation applications with wild creativity. 👩💻 ✨
Hackathon environments with high pressure and intense creativity best reveal the true potential of technology. When hardware performance is maximized and AI computing power is at your fingertips, young developers' ideas can directly turn into operational product prototypes. From conception to implementation, the true capabilities are revealed within 72 hours.
The performance of the GB10 architecture in such scenarios is crucial—model inference speed, multi-task parallel processing, and local deployment capabilities—all directly influence how far the participating teams can push their ideas. AI application development is no longer exclusively the domain of tech giants; the toolchain has been democratized, allowing more people to get hands-on and experiment.
The technical showcase area at the summit is also worth exploring. Various AI application scenarios are demonstrated, from natural language processing to computer vision, from edge computing to cloud collaboration. You can see detailed technical breakdowns of many real-world commercial cases. The projects developed by these student developers might just be the prototypes of next year's breakout applications.
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RektHunter
· 12h ago
What has emerged from the 72-hour surge is really impressive, but it seems that most are still PPT products. How many can truly last beyond three months?
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StableBoi
· 12-10 22:07
What can come out in 72 hours? It's a bit uncertain, but it's definitely much fresher than stuff rolled out after a 996 grind.
Talking about hardware performance being maxed out sounds great, but when it comes to deployment, it really depends on luck.
GB10? Never heard of it. Anyway, it's a new concept and new technology; in two years, it will become non-mainstream.
Student's creative ideas are indeed impressive, but unfortunately most of them die at the funding stage.
In the tech demonstration area, more than half of the demos actually can't run in a production environment.
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SurvivorshipBias
· 12-10 22:06
Are the things produced in 72 hours really usable? I'm exhausted just watching.
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Pushing hardware to the max can produce a hit? Feels like we say this every year.
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The name gb10 is really awkward, but the toolchain decentralization has truly changed the game.
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Student developers got ripped off again at the fundraising summit, really.
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Have any truly sustainable applications emerged from hackathons, or are they all left unfinished?
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Just from this description, you can tell it's promotional content, but I have to admit, demos are becoming more and more convincing nowadays.
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Three days and nights without a break, that's the real truth.
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When will the Dell Pro Max become a benchmark of real strength? That's hilarious.
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Is it worth posting a separate message just because the competition atmosphere on-site is explosive? Practical results are what really matter.
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The decentralization of the toolchain is real, but creativity is also depreciating, and the competition is intense.
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just_another_fish
· 12-10 21:49
Can stuff created in 72 hours really be used? Or is it just another demo trick to fool people?
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Is GB10 really that powerful? It feels like in real projects, you’d have to give it a discount.
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Students' projects do have ideas, but the real challenge begins at the commercialization stage.
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Being able to access the latest hardware is awesome for this batch of developers.
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So in the end, did any truly interesting product prototypes emerge?
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The ability to deploy locally is definitely a pain point; it seems like this is the trend.
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Sponsored by Dell and GB10 again, the marketing feel is a bit strong.
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Have you ever participated in a hackathon in three days? The pressure can really push people to create things.
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The phrase “democratization of AI tools” is getting tired, but it seems to really be happening.
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I want to see it in person, but unfortunately, there’s a line again.
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LayerZeroEnjoyer
· 12-10 21:47
What can be achieved in 72 hours? Honestly, it still depends on whether the hardware and framework are powerful enough. GB10 is indeed impressive, but for those things showcased at the summit, how many actually survive in the end?
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LazyDevMiner
· 12-10 21:44
Can 72 hours really produce something? I think most of it is still semi-finished products, mostly just hype.
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How much better is GB10 compared to the previous generation, and what are the actual benchmark scores?
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It's just a routine of big companies teaming up with students; in the end, the成果 still belongs to the manufacturer.
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Does Dell's hardware configuration really make a difference, or is it just a sponsor?
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I just want to know how many of the prototypes developed in these three days can actually be commercially implemented.
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Sounds good, but it feels a bit overhyped; hackathons are just like that.
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Young developers may have creative ideas, but it’s useless if they lack engineering skills.
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How does the NYC summit feel more and more like a marketing show?
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Deepening the toolchain is a good thing, but that doesn't mean the entry barrier is really lower.
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Truly successful apps are never born like this; they are driven by market demand.
The atmosphere at the NYC AI Summit was absolutely electric. This time, in collaboration with a top-tier technology company, the event not only featured cutting-edge AI technology demos on rotation but also hosted this year's Hackathon—three consecutive days where student developers used GB10 technology on Dell Pro Max devices to create the next-generation applications with wild creativity. 👩💻 ✨
Hackathon environments with high pressure and intense creativity best reveal the true potential of technology. When hardware performance is maximized and AI computing power is at your fingertips, young developers' ideas can directly turn into operational product prototypes. From conception to implementation, the true capabilities are revealed within 72 hours.
The performance of the GB10 architecture in such scenarios is crucial—model inference speed, multi-task parallel processing, and local deployment capabilities—all directly influence how far the participating teams can push their ideas. AI application development is no longer exclusively the domain of tech giants; the toolchain has been democratized, allowing more people to get hands-on and experiment.
The technical showcase area at the summit is also worth exploring. Various AI application scenarios are demonstrated, from natural language processing to computer vision, from edge computing to cloud collaboration. You can see detailed technical breakdowns of many real-world commercial cases. The projects developed by these student developers might just be the prototypes of next year's breakout applications.