Industry News

Traditional cloud infrastructure wasn’t designed to support large-scale artificial intelligence. Hyperscalers are quickly working to rebuild it.

Many companies say the cloud is their go-to when it comes to training and running large AI applications—but today, only a small portion of existing cloud infrastructure is actually set up to support that. The rest is not.

As the demand for data booms, hyperscaling explodes in conjunction with that demand. Here are the Top 10 data centre hyperscalers across the planet.

Data centres are the backbone of the digital economy, providing the infrastructure necessary to store, process and transmit vast amounts of data. Hyperscale data centres are massive facilities built by companies with vast data processing and storage needs.

Generative AI is poised to unleash the next wave of productivity. We take a first look at where business value could accrue and the potential impacts on the workforce.

KEY HIGHLIGHTS/ TRENDS. Shift Towards Sustainable Measures to Reduce Carbon Emissions. The increasing data center power consumption and the need to decrease carbon emissions have prompted many service providers to purchase clean, renewable energy sources to power their current and new facilities.

After a flurry of new competitors in 2022 at the top of the TOP500 list of the world’s most powerful supercomputers, the first list of 2023 – issued here in Hamburg this morning at the ISC conference – reveals the same top 10 systems in the same order.

Rapidly expanding data needs accelerate growth and drive investor interest, even as headwinds persist

The need for data centres is growing but powering these is a challenge of economy. How are data centres finding energy efficiencies and cutting costs?