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What a moment for @NPS_Monterey and the public sector. At Converge @ NPS, our CEO Jensen Huang joined federal leaders and ecosystem partners to commission the #NVIDIADGX# GB300 system, providing 1,500 students and 600 faculty with on-premises access to large-scale AI computing for research, model training, simulations, and real-world application development. The visit marked a shared commitment to advancing AI education, research, and mission-focused innovation.
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Huge congratulations to the @SpaceX team on a historic IPO debut. Fueling the next frontier of space and AI. 🌌 NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1# supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.
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16 parallel runs of Gemma 4 26B A4B on a single NVIDIA DGX Spark! Pushing 18 tok/s per instance and a 300 tok/s aggregate. It can even hit 32 parallel runs. This level of concurrency highlights how efficient the architecture is.
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THIS DEVELOPER CONNECTED 8 NVIDIA DGX SPARKS INTO ONE CLUSTER - AND RAN AN 800GB MODEL THAT MADE HIM 10X MORE PRODUCTIVE 21:47 he says it straight - "this is a terabyte of VRAM - we ran Quen 3.5, 800GB on disk, a model that doesn't even fit on a single Mac Studio - 24 tokens per second - I'd say that's a win" 8 Sparks connected through a $1,300 switch via RDMA over Ethernet - each node adding 128GB of memory into one unified pool of 1TB started with one Spark at 3 tokens per second - every added node doubled the speed - and eight together deliver 24 tokens on a model that physically cannot run anywhere else Kimi K2 at 600GB loaded in 15 minutes, 115GB per node, 13 tokens per second - a model that simply cannot run on anything smaller Claude helped configure the entire cluster - SSH mesh across all 8 machines, network config, jumbo frames, QSFP port speeds - all from one terminal most people rent cloud compute for models this size at $2,000+/month - he built the cluster once and now every token costs 20x less
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Jensen. @SEGA. Akihabara. 🎮 Some collabs are just meant to be. We stepped into the heart of Tokyo's most legendary gaming district to celebrate decades of shared history, and the next era with @NVIDIARTXSpark.
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What’s the saying about the early bird and the worm? 🐦🪱 #NVIDIAGTC# Berlin discounted pricing is available for a limited time only - join us for the latest in AI, accelerated computing, robotics, simulation, and more.
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"Agentic AI changes the role of the CPU. The CPU is now the conductor and the GPU is the orchestra". 🎼 NVIDIA Vera is the first CPU built for AI agents — purpose-built from the ground up for how AI works today. Faster. More efficient. Ready for what's next. 🔲 #NVIDIAGTC#
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Taipei's iconic skyline just got a little greener. 💚 Taipei 101 lights up for #NVIDIAGTC#
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🦞 Build-a-Claw has landed in Taipei. Learn how to build your first autonomous long agent at #NVIDIAGTC# Taipei. 📆 Tuesday, June 2: 12:00 pm - 5:30 pm SGT / 2:00 pm - 7:30 pm AEST Wednesday, June 3: 11:00 am - 5:30 pm SGT / 1:00 pm - 7:30 pm AEST Thursday, June 4: 9:30 am - 5:30 pm SGT / 11:30 am - 7:30 pm AEST 📍 NVIDIA Showcase, Taipei International Convention Center (TICC) - 1st Floor 🔗
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What does it take to build an AI factory ready for the agentic era? 80+ partners joined Jensen Huang at #NVIDIAGTC# Taipei to show how NVIDIA MGX is making it possible. With NVIDIA Vera Rubin, 800 VDC, and partners spanning systems, power, and cooling, NVIDIA MGX is turning modular design into deployed AI infrastructure for the agentic AI era. ⚡ #NVIDIAGTC# 🔗
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