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

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.

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.”

Cyprus Ranks In EU’s Middle Tier For Minimum Wage After Cost Adjustment

Cyprus sits in the middle tier of the European Union’s minimum wage ranking when differences in living costs are taken into account, according to Eurostat.

Based on data from July 1, 2026, Cyprus falls into the group with minimum wages between 1,000 and 1,500 Purchasing Power Standards (PPS). The category also includes Greece, Malta, Portugal, Romania, Croatia, Lithuania, Slovakia, Hungary and Czechia.

After adjusting for purchasing power, Cyprus drops four positions compared with its nominal ranking.

Purchasing Power Gives A Different Picture

PPS adjusts for price differences between countries, providing a better indication of how much people can actually buy with their income.

The adjustment significantly narrows the gap between EU minimum wages. While Luxembourg has the highest nominal minimum wage, Germany ranks first when wages are measured in PPS.

Cyprus Hit By Higher Inflation

Differences in inflation have also affected purchasing power. Euro-area inflation reached 3.2% between January and July, while Malta recorded 8.2%, Cyprus 5.4% and the Netherlands 4.7%.

Countries with minimum wages of at least 1,500 PPS form the top group. This includes Germany, Luxembourg, the Netherlands, Belgium, Ireland, France, Slovenia, Spain and Poland.

At the other end, Bulgaria, Latvia and Estonia remain below 1,000 PPS.

Nominal And Purchasing Power Rankings Differ

In nominal euro terms, Luxembourg’s minimum wage was 4.5 times higher than Bulgaria’s on July 1. Once purchasing power is considered, the gap between the highest and lowest levels falls to 2.3 times.

Romania recorded one of the largest improvements, moving from 20th place in the nominal ranking to 12th in PPS terms. Estonia saw the biggest decline, falling from 16th to 26th place. Cyprus, Latvia and Czechia each dropped four positions.

Minimum Wages Rose In Several Countries

Between January and July 2026, eight of the 29 countries covered by Eurostat recorded increases in their minimum wages in local currency.

Romania and Estonia posted the largest increases at 6.8%, followed by Belgium at 5.8%, Greece at 4.5%, Luxembourg at 2.5%, France at 2.4% and the Netherlands at 1.9%.

Eurostat notes that minimum wages are generally reported as monthly gross earnings, before income tax and employee social security contributions.

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