Relativity Networks Raises $22 Million As AI Data Centers Go Bigger

by News Editor

August 19, 2026

Relativity Networks has raised $22 million as it develops hollow-core fiber technology designed to transmit data faster than conventional fiber and potentially expand where large AI data centers can be built.

The funding, announced Tuesday, was raised through SAFE notes from Rhapsody Venture Partners, Bell Ventures and Faster Than Glass, among others. The company also secured a $40 million follow-on order from an unnamed leading hyperscaler.

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Faster Fiber, Lower Latency

Relativity Networks uses hollow-core fiber, a technology that sends light through a hollow chamber rather than traditional glass fiber. The company says this can make data transmission around 30% faster.

According to CEO Jason Eisenholz, a signal takes roughly five microseconds to travel one kilometre through conventional fiber. Hollow-core fiber can reduce that to about 3.5 microseconds.

That difference becomes increasingly important as AI systems grow. Instead of keeping GPUs within a single data center, operators are increasingly spreading computing capacity across multiple buildings or campuses because of power and space constraints.

Extending The Reach Of AI Data Centers

Relativity believes its technology could help connect separate data centers and allow them to function as a single, synchronized system.

Reducing latency by 30% could effectively allow compute infrastructure to span greater distances before network delays become a major limitation.

“The first era of AI optimized for compute,” Eisenholz said. “The second era optimized the networking inside the data center. The third era that we see coming is optimizing the geography.”

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Cyprus Outpaces EU Average In Working-Age Population Share, Eurostat Finds

by THEFUTURE.TEAM

October 6, 2026

Cyprus had a working-age population share of 61.6 per cent on January 1, 2025, placing the country above the European Union average of 58.3 per cent, according to Eurostat.

Cyprus Stands Above The EU Benchmark

The figures show that people aged 20 to 64 made up more than three-fifths of Cyprus’ population at the start of last year. In Eurostat’s regional demographic breakdown, Cyprus is treated as a single region because of its size, rather than being divided into multiple NUTS level 3 areas.

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Wide Gaps Across The Bloc

Across the EU, 58.3 per cent of the population was of working age on January 1, 2025. The share reached at least 63.0 per cent in 39 NUTS level 3 regions, most of them in Germany. The group also included island regions in Spain, alongside several capital regions and their surrounding areas.

Capital And Island Regions Lead

At the top of the range was the Danish capital region of Byen København, where 68.9 per cent of residents were of working age. The same proportion was recorded in Spain’s island region of Eivissa y Formentera, while Fuerteventura stood at 68.3 per cent and Lanzarote at 67.3 per cent.

Rural Europe Skews Older

At the other end of the spectrum, working-age residents accounted for less than 55.0 per cent of the population in 189 EU regions. These areas were largely rural, including inland Portugal, much of rural France, most of eastern Germany, and rural areas in Bulgaria, Greece and the Nordic EU countries.

In six regions, fewer than half of the population was of working age. Those regions were Bornholm in Denmark, Creuse and Lot in south-west France, Etelä-Savo in south-east Finland, the Arrondissement of Veurne in Belgium and the French outermost region of Mayotte.

What The Data Measures

Eurostat’s regional demographic data measure the share of people aged 20 to 64, not the share of people who are actually employed. Cyprus’ 61.6 per cent figure was 3.3 percentage points above the EU average, though still below the highest regional levels recorded across the bloc.

The data underline how sharply Europe’s age structure varies from one region to another, with working-age shares differing significantly between urban centres, capital regions, islands and predominantly rural areas.

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