3.9K
HPOverheard at NVIDIA GTC
Doing enterprise AI? You need the power of HPE compute.
#nvidiagtc
@hpe
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122
AGWhy NVIDIA is Building 'AI Factories' Instead of Just Chips
#AIFactory #TechInfrastructure #FutureOfAI #NVIDIA #DataCenterEvolution
@agtpinsights
111
AGNVIDIA just dropped the most ambitious AI compute roadmap in history at GTC 2026.
→ Vera Rubin Platform: 7 chips, 5 rack-scale systems — purpose-built for agentic AI workloads
→ Feynman chip announced — NVIDIA's next architecture is already named and in development
→ AWS deploying 1M+ NVIDIA GPUs across global regions starting this year
→ Jensen Huang: "We're going to space" — AI data centers in orbit with NVIDIA Space-1
The chips that will run the next generation of AI agents are already being designed.
What aspect of GTC 2026 are you most excited about? Drop it in the comments.
@agentdailyai
25
AVInside NVIDIA GTC 2026 with Aviz Networks
From being recognized in Nvidia’s ecosystem during Jensen Huang’s keynote to standing alongside fellow Nvidia DSX AIR founders, it has been an amazing moment for us. We have been showcasing live demos of how we are rethinking network observability for the AI era and enabling the AI factory, while also having engaging conversations at our booth.
The energy, the ideas, and the people have made this truly special.
If you are at NVIDIA GTC, visit us at Booth #147 to connect with the team and see our demos in action.
#NVIDIAGTC #AIInfrastructure #AIFactory #NetworkObservability #NVIDIA #Startups #AI #TechEvents #AvizNetworks
@aviznetworks
1.5K
ABAI is no longer just a buzzword… it’s becoming the world’s infrastructure.
At NVIDIA GTC 2026, one thing became crystal clear
we’re entering the real era of AI deployment, not just experimentation.
It’s no longer about training bigger models,
it’s about running AI in real-time, at scale ⚡
From powering intelligent agents 🤖
to building “AI factories” that will drive entire industries,
NVIDIA is positioning itself at the center of this shift.
And the scale?
We’re talking about a $1 TRILLION AI opportunity 💸
With next-gen architectures like Vera Rubin (2026) and Feynman (2028),
plus a strong push into inference computing,
the focus is clear:
👉 Make AI faster
👉 Make AI usable
👉 Make AI everywhere
This isn’t just innovation…
this is infrastructure being built for the next decade.
The question is no longer “Will AI change things?”
It’s “Are you ready for how fast it already is?” 🔥
#GTC2026 #NVIDIA #ArtificialIntelligence #AI #TechFuture Innovation SoftwareEngineering Developers FutureOfWork MachineLearning
@abhishek.tech._
164
DAWhat’s Next in AI? 🚀 Biggest Announcements from Nvidia GTC 2026
At NVIDIA GTC 2026, CEO Jensen Huang unveiled the next wave of artificial intelligence innovation—and it’s moving faster than ever.
From breakthroughs in CUDA to the next-gen DLSS 5, NVIDIA is shaping the future of computing across industries. The demand for GPUs is exploding as AI adoption accelerates in healthcare, robotics, finance, and beyond.
Major partnerships with Google Cloud Security, Microsoft Azure DevOps, and Amazon Web Services (AWS) show how AI infrastructure is scaling globally.
💡 In this video/article, we break down:
Key AI announcements from GTC 2026
NVIDIA’s growing dominance in AI hardware
Real-world impact across industries
What this means for the future of AI
👉 Read the full article on Dataquest (link in description): https://www.dqindia.com/esdm/nvidia-gtc-2026-whats-next-in-ai-11224094
#NVIDIAGTC2026 #AIRevolution #ArtificialIntelligence #NVIDIA #JensenHuang
#MachineLearning #DeepLearning #FutureTech #AI2026 #TechTrends
#GPU #CloudComputing #BigData #Innovation #DLSS5
@dataquestindia
2.5K
TRSecurity can’t be an afterthought in the age of AI factories, it has to be built in from day one.
At #GTC2026, we announced our integration with NVIDIA DSX Air, enabling organizations to design, test, and validate AI factory security before deployment.
🎥 Watch how we’re helping teams innovate, securely.
@trendaisecurity
14.9K
THThis isn’t a GPU.
This is an AI factory.
At CES 2025, Jensen Huang revealed NVIDIA’s GB200 NVLink 72 — one of the most extreme AI systems ever built.
Here’s what makes it insane 👇
• 1.5 tons of hardware
• 600,000 individual parts
• Roughly the size and weight of 20 cars
• 120 kilowatts of power
• 5,000 cables
• Nearly 2 miles of copper inside
• Built across 45 factories worldwide
Every system is liquid-cooled, tested, disassembled, shipped in pieces, then rebuilt outside data centers because it’s literally too heavy to move as one unit.
This is what happens when AI scaling moves beyond chips — and turns into full-scale infrastructure.
The future of AI isn’t just smarter models.
It’s massive systems designed to think at scale.
---
FOLLOW @theaimod to learn something new every day!
Would you want data centers like this built in the U.S. — or is AI scaling getting out of control? 👇
Drop your take.
---
🔥 Trending Hashtags (Tech / AI / USA)
#NVIDIA
#AIInfrastructure
#DataCenters
#JensenHuang
#FutureOfAI
🎥: NVIDIA
@theaimod
430
COThat's a wrap on @nvidia GTC. Four days on the floor confirmed what we've long believed: AI has moved from training to production at scale.
In every conversation with engineers and partners, the focus has moved from "can we build it?" to "how do we scale it?" while staying efficient, powerful, and compliant with local data rules.
What stood out most is the blistering pace of the Al stack. From inferencing to orchestration, the complexity is immense. Our role as @g42ai's "token factory" is to abstract that complexity, providing the heterogeneous infrastructure that ensures Al-native systems perform at the optimal price-performance for any specific workload.
We’re heading back with a clear focus: keep building the digital infrastructure that empowers AI-native societies perform at scale. 🦾
A huge thank you to our teams, partners, and every visitor who joined us at the Core42 booth.
#NVIDIAGTC #Core42 #Al #DigitalTransformation
@core42ai
115
TH🤖 Nvidia's Secret AI Empire
While everyone watches Nvidia dominate the chip market, the company is quietly building a multibillion-dollar AI infrastructure business that could rival its entire chips division. End-to-end AI services, cloud infrastructure, enterprise solutions — think AWS, but for AI. Sell the picks and shovels, then build the entire gold mine.
Source: TechCrunch
#nvidia #ai #artificialintelligence #tech #gpu
@thebrieflypulse
2.7K
FLA defining week at #NVIDIAGTC for the future of AI infrastructure.
From the shift to 800 VDC power architectures to the rapid rise of AI factories, one thing is clear: scaling AI will depend on rethinking power, cooling, and integration at every level.
Proud to be part of the NVIDIA AI Factory MGX ecosystem, helping enable the next generation of high-density, high-performance infrastructure.
Thank you to everyone who stopped by Booth 138.
Link in bio 🗞️
#AIInfrastructure #DataCenters #PowerArchitecture #NVIDIA #Flex
@flexintl
293
JANVIDIA's GTC conference dropped news every AI builder needs to know.
Jensen Huang revealed Vera Rubin, a GPU delivering 10x more performance per watt than Blackwell, as NVIDIA sits on $1 trillion in confirmed AI infrastructure orders.
The hardware race is accelerating faster than most realize.
#AINews #NvidiaGTC #AIHardware #ArtificialIntelligence
@jacqbots
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