NVIDIA Data Center’s Post

The acceleration of AI workloads is changing the game for telecom companies. By working together with software providers & partners, they can manage & optimize AI traffic on accelerated computing architecture. #AIoptimization #TelecomEcosystem

NVIDIA Why don't we use AI? Because it can't solve our problem. Do you or any of your contacts need our expertise and intellectual property (IP), a copyrighted Chinese-English multilingual metadata, to do the data analysis that AI can't do? NO one in the world can change the fact that we need menu to order our food at a restaurant. A five-year-old kid knows this. Similarly, we need metadata to search/retrieve the right data for data analytics. Metadata is a copyrighted content, NOT technology. It is fundamental to enable data analytics. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI. https://lnkd.in/g-aJFnXR Let's try the go/no-go test here to see if AI works without metadata, and then, at what cost. Is there any data solution, AI or NOT, that can answer the following questions of business intelligence? "How many entities, in the Ontario province of Canada or in the "江蘇" province of China, have new US patents granted on the nearest Tuesday (Eastern Time), when the USPTO releases the newly granted US patents on a weekly basis?" With our IP, we can answer, even by an ordinary laptop without AI.

Watch this on-demand and help customers modernize the data center for enterprise-grade AI workloads. Learn about Dell Technologies AI Factory, Equinix AI-ready data centers, and how to personalize models with RAG. https://eqix.it/497NbM6

🔍 Choosing the Right Data Center for Your AI Workloads? AI isn’t one-size-fits-all. Each stage—training, inference, data movement—demands a specific data center setup. Here’s how to align your AI needs with the right infrastructure: Model Training 🧠 High compute power is essential. Hyperscale data centers offer the space and capacity to support massive datasets. Inference ⚡ Latency matters here. Colocation data centers reduce delays, ideal for real-time responses. Data in Motion 🔗 AI data needs to flow seamlessly. Equinix Fabric® enables rapid, secure data movement across locations. 📊 What Sets Equinix Apart? We combine xScale® hyperscale and IBX® colocation centers, so your AI workloads get exactly what they need—high power, low latency, and seamless connectivity. 👉 Curious about the best data center setup for your AI? Reach out to explore how Platform Equinix® can support your strategy!

Watch this on-demand and help customers modernize the data center for enterprise-grade AI workloads. Learn about Dell Technologies AI Factory, Equinix AI-ready data centers, and how to personalize models with RAG.

The AI revolution is here, and it’s reshaping the way enterprises operate, innovate, and compete. But are your data centers ready to meet the demands of AI at scale? Join Jeff Fonke, WWT’s Senior Practice Manager for High-Performance Architecture, and Matt Gillies, Cisco Fellow and Chief Architect of Global Solutions Engineering, on Thursday, December 5, 2024, for an exclusive conversation on: 💡 What’s on the Agenda? - AI Pods: Accelerate model deployment with pre-validated, full-stack systems. - Actionable Insights: Strategies to future-proof your AI infrastructure. - Industry Trends: Understand the market dynamics driving practical AI adoption. - Best Practices: Optimize data center performance for generative AI workloads. 📅 Don’t miss this chance to get ahead. Register now: https://lnkd.in/gxBupjGc #AI #DataCenters #Innovation #Cisco #WWT #HighPerformanceComputing #FutureOfAI

Data center infrastructure is quickly evolving to support AI operations, with Digital Realty at the forefront. Check out the IDC report “AI-Driven Workloads Drive High-Density Colocation Solutions” to learn about the significance of advanced cooling systems and high-density colocation for large-scale AI projects: https://okt.to/L68VOJ #PlatformDIGITAL #WhereTomorrowComesTogether #AI #TheDataMeetingPlace

Adoption of accelerated IT and high-performance computing (HPC) architectures is growing at a fast pace to meet the demands of AI workloads. Power and cooling infrastructure designs are being transformed as traditional cooling technologies might not measure up to the needs of AI workloads. Vertiv can help you rethink your critical infrastructure in the age of #AI. Learn more here: http://ms.spr.ly/6040cVYNK

Accelerate your architecture to meet the demands of AI workloads. As AI becomes integral, IT Infrastructure faces a density journey with unique challenges at each level. Vertiv is your guide through the future of IT density. http://ms.spr.ly/6048cTdPg #AITransformation #ITInfrastructure #VertivTech

Accelerate your architecture to meet the demands of AI workloads. As AI becomes integral, IT Infrastructure faces a density journey with unique challenges at each level. Vertiv is your guide through the future of IT density. http://ms.spr.ly/6043cS0kc #AITransformation #ITInfrastructure #VertivTech