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AI FUNDAMENTALS

AI-optimized data center — five critical components

AI-optimized data centers require GPUs, TPUs, high-speed networking, advanced cooling systems, as well as fast and scalable storage As artificial intelligence (AI) continues to rapidly...

AI in telecoms – what to know and what to ask (see you tomorrow!)

In sum – what you need to know AI for internal telco efficiencies – AI is being used so successfully in customer care and network...

What is a TPU (Tensor Processing Unit)?

Unlike traditional CPUs or GPUs, a Tensor Processing Unit is specifically built to handle the complex calculations required for deep learning models Artificial intelligence (AI)...

What is liquid cooling and why is it key for AI Data centers?

As artificial intelligence (AI) continues to advance at a fast pace, data centers need to evolve to handle the growing demand for computing power....

Top three ways renewable energy is powering AI data centers

As artificial intelligence (AI) continues to expand, the demand for data centers has skyrocketed. AI applications require massive computing power, leading to higher energy...

What is an AI hyperscale data center? — five features and three reasons they matter

An AI hyperscale data center is a large facility designed to support AI workloads on a massive scale In today’s digital world, artificial intelligence (AI)...

Top five things to know about securing AI data centers

To protect AI data centers from cyber threats, physical intrusions and operational failures, organizations must implement strong security measures As artificial intelligence (AI) adoption continues...

Top five AI data center bottlenecks (power, power, and more power)

The rise of artificial intelligence (AI) has driven an unprecedented demand for high-performance computing infrastructure, leading to a surge in the construction of AI-focused...

AI data center vs traditional data center – what is the difference?

As artificial intelligence (AI) continues to expand at a fast pace, data centers needs to evolve to handle its demands. AI data centers are...

The top five AI data centers in India

As artificial intelligence (AI) adoption accelerates across industries, India is emerging as a key player in AI-driven data infrastructure. The Asian country is witnessing...

What is chiplet technology and what is its impact on AI processing?

  As artificial intelligence (AI) continues to evolve, the demand for faster and more efficient computing is growing at a fast pace. One of the...

How is the UK investing in AI infrastructure?

Last year, four major U.S. firms committed a combined £6.3 billion, or $8.16 billion, to expand AI-ready data centers in the U.K. The U.K. Government...

What are hyperscale AI data centers?

A hyperscale data center is a facility built with the main aim of handling large-scale computing and data processing needs As artificial intelligence (AI) continues...

Top six AI data centers in Asia

As artificial intelligence (AI) adoption accelerates, Asia is emerging as a global hub for high-performance AI data centers These AI data centers are critical for...

What is AI as a Service (AIaaS)?

AIaaS enables businesses to leverage AI-driven applications such as machine learning, natural language processing, computer vision and predictive analytics Artificial intelligence as a Service (AIaaS)...

Four reasons to be optimistic about telco AI

Is the telecommunications industry behind the AI curve? The industry says no, of course — but why? Is the telecommunications industry behind the AI curve?...

How will AI impact fiber infrastructure? Anticipating AI traffic, Zayo to build 5,000 fiber route-miles

Amid a boom in AI investments around servers and data centers, there are also signs that fiber infrastructure will need to have its capacity...

Two mega-trends in AI testing (and three enabling technologies)

Spirent sees an increased focus on AI testing across telecom, driven by two 'mega-trends' The booming growth in AI is impacting testing considerations in a...

The energy demands of AI infrastructure

AI infrastructure, especially purpose-built data centers, are creating a surge in power demand and foregrounding energy efficiency strategies The rapid growth of AI and the...

Five predictions for the AI infrastructure market

AI infrastructure market is facing a blockbuster boom—and pressures The infrastructure needed to support artificial intelligence is expecting an across-the-board boom, as companies invest in...

AI-arrgghhh! Four types of AI (fear and loathing in Silicon Valley etc)

If Jenson Huang says jump, the markets say ‘how high?’. Right? Such is the planet-shifting potential of artificial intelligence (AI), apparently – in capitalist...

AI 101: The evolution of AI and understanding AI workflows

NVIDIA on the importance of end-to-end solutions to solve enterprise AI adoption challenges Editor’s note: NVIDIA has a free online course called “AI for All:...

AI 101: The transformational AI opportunity

NVIDIA highlights how AI can drive change in the automotive, financial services and healthcare industries Editor’s note: NVIDIA has a free online course called “AI...

Agentic AI—will 2025 be a breakout year?

So you want to turn you data and abstracted business logic into use cases that carry a clear ROI? And you want to do...

The three AI scaling laws and what they mean for AI infrastructure

Model size, dataset size and compute all depend on the availability of necessary AI infrastructure In January 2020, a team of OpenAI researchers led by...