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One of the prevailing challenges in AI infrastructure is the mismatch between technology and infrastructure cycles.
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One of the prevailing challenges in AI infrastructure is the mismatch between technology and infrastructure cycles.
… it's facing a convergence
Greater demands for AI workloads require greater amounts of data center power
And why engineering discipline is essential to match AI ambitions
And how power efficiency is the foundation for success
Virginia needs to move quickly on practical reforms
The AI race will be won by being quick; there's no time to fall behind
The amount of data being produced is exploding, and storage needs greater attention
A proactive approach is essential, or risk falling behind in this AI race
AI can help power providers make smarter decisions
Expert advice for navigating the full spectrum of computing needs
When you control your power, you control your timeline. What separates viable projects from stalled ones is the rapid availability of reliable energy
Google, AWS, Microsoft, Meta, and OpenAI are racing for AI supremacy. Who will win? Whoever can energize big data centers the fastest
The impacts of improving AI efficiency on its adoption and the demand for sustainable data centers
Sustainability must be a key focus when it comes to powering AI
The paradox of AI's transformative potential in fuelling the next generation of technological and societal innovation, while driving demand for computational and processing power
As AI and power demands reshape data centers, innovative cooling, and adaptable site selection are driving a new, sustainable era of advanced compute infrastructure
AI is changing the world
Real-world challenges and necessary transformations in space, power, and cooling to support our hyperconnected future
Energy and the promise of AI
Vertiv pioneers sustainable solutions for data centers, tackling power demands with innovations like liquid cooling and battery storage
Grid reliability is key for data center operators
Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low — but it will rise quickly as adoption increases
Powering the next generation of data centers
Industry technology must address critical capacity, cooling needs and support AI optimization
The three trends set to impact the data center market in 2024 and beyond
What we will have to do to support generative AI
Like flying, AI is something we should use sparingly