Thursday April 16, 2026 - 28 Shawwal 1447Technology · Innovation · Algeria
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Recommerce Tipping Point: eBay’s $1.2 Billion Depop Bet on the Circular Economy

Recommerce Tipping Point: eBay’s $1.2 Billion Depop Bet on the Circular Economy

March 25, 2026

eBay\u2019s $1.2B Depop acquisition signals the recommerce tipping point. How Gen Z, AI authentication, and circular economy policies reshape a $230B resale market.

Green Data Centers: Can Solar-Powered Computing Become Algeria’s Next Competitive Advantage?

Green Data Centers: Can Solar-Powered Computing Become Algeria’s Next Competitive Advantage?

March 21, 2026

⚡ Key Takeaways There is a quiet irony in Algeria’s energy story. The country sits atop some of the richest...

Silicon Valley’s Shadow Power Grid: Big Tech Builds Its Own Off-Grid Energy Empire

Silicon Valley’s Shadow Power Grid: Big Tech Builds Its Own Off-Grid Energy Empire

ALGERIATECH Editorial
March 2, 2026

At least 46 behind-the-meter data centers totaling 56 GW bypass public grids. Natural gas dominates as hyperscalers race to power AI.

Liquid Cooling Goes Mainstream: The Race to Cool AI’s Insatiable Heat

Liquid Cooling Goes Mainstream: The Race to Cool AI’s Insatiable Heat

ALGERIATECH Editorial
March 2, 2026

AI GPUs now draw 1,000-1,400W each. Air cooling cannot cope. The liquid cooling market is projected to exceed $29B by 2033, led by immersion systems.

Data Centers Are Draining Aquifers: The Water War Big Tech Doesn’t Want You to See

Data Centers Are Draining Aquifers: The Water War Big Tech Doesn’t Want You to See

ALGERIATECH Editorial
March 2, 2026

Data centers consumed 49 billion gallons of water in Texas alone in 2025, projected to reach 399 billion by 2030. Most states lack water reporting.

AI’s Energy Crisis: The Trillion-Dollar Power Problem Behind the AI Boom

AI’s Energy Crisis: The Trillion-Dollar Power Problem Behind the AI Boom

ALGERIATECH Editorial
December 9, 2025

The Power Problem Is Here The AI revolution runs on electricity, and electricity is running short. Training a single frontier model like GPT-4 consumed an estimated 40 to 50 times the energy of GPT-3 -- itself a 1,287 MWh training run equivalent to powering 120 US households for a year.

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