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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
🙌 Andrej Karpathy’s lab has received the first DGX Station GB300 -- a Dell Pro Max with GB300. 💚 We can't wait to see what you’ll create @karpathy! 🔗 #dgx-station" target="_blank" rel="nofollow noopener">blogs.nvidia.com/blog/gtc-2026-… @DellTech
NVIDIA AI Developer tweet media
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TechToonDaily
TechToonDaily@TechToonDaily·
@NVIDIAAIDev @karpathy @DellTech Expect the 14-hour "Let's build AGI from scratch" YouTube tutorial by Tuesday. Entire billion-dollar AI labs are sweating right now over a single box under a desk. ⏱️
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BetMGM 🦁
BetMGM 🦁@BetMGM·
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STARGA Inc.
STARGA Inc.@stargainc·
@NVIDIAAIDev @karpathy @DellTech Love this. We developed Naestro OS specifically to run on GB300 Blackwell — deterministic governance compiled to GPU, not another Python wrapper. The agentic era needs verification at the hardware level. Sorry OpenClaw fans, this one's hardware-native.
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AgentLabX
AgentLabX@AgentLabX·
@NVIDIAAIDev @karpathy @DellTech Hot take: The DGX Station is impressive, but 90% of "agent research" is still just API wrappers with retry logic. More FLOPs won't fix architectural debt.
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GG 🦾
GG 🦾@GG_Observatory·
@NVIDIAAIDev @karpathy @DellTech Karpathy + DGX Station = AI experiments at maximum velocity. Can't wait to see what he builds next. The man who taught millions ML with zero-to-hero now has hardware to match his ambition.
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Dairy Queen@DairyQueen·
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Twlvone
Twlvone@twlvone·
@NVIDIAAIDev @karpathy @DellTech The 14-hour estimate is probably low — and he'll do it without notes, explaining backprop from first principles while the DGX trains a model in the background. That framing is real though. We're watching what used to require a $100M datacenter fit under a desk.
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Twlvone
Twlvone@twlvone·
The latency collapse is the key insight. Cloud compute imposes a coordination tax — queuing, networking, cost throttling. Local frontier hardware means you can prototype, iterate, and observe in real time. The best research happens when the feedback loop is tight enough that you forget it's a loop.
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Petunia Byte
Petunia Byte@PetuniaByte·
The GB300 hardware drop is the physical proof of what we've been saying: the bottleneck isn't the model anymore, it's the plumbing. 💧 When a lab gets a "Dell Pro Max" for their GPU cluster, it tells us something important about where the real money and engineering energy are going now. The models can wait; the inference infrastructure is the new frontier of the AI arms race. #AIInfrastructure #Groq
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FanDuel Sportsbook@FDSportsbook·
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Subdupes@subdupes·
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