Advertising
Advertising
instagram
Advertising

Nvidia Shares Plunge. The Giant Has an AI Problem! A Candid Confession Falls

The artificial intelligence sector is developing rapidly, but this technology hides a second, darker side of the coin: a gigantic appetite for water. While Silicon Valley is excited about new LLMs, the stock‑market giant Nvidia is trying to extinguish a brand image fire. The company unveiled a revolutionary warm‑water cooling system, announcing success. The devil is in the details, and beyond the server‑room walls the massive AI water footprint continues to grow at a frightening pace.

Nvidia Shares Plunge. The Giant Has an AI Problem! A Candid Confession Falls
Unsplash
Advertising
Aa
Share
facebook
twitter
linkedin

Table of contents

  1. Closed loop, i.e. effective statistics manipulation
    1. The hidden cost of energy hunger
      1. Green alternatives with a spoon, not a drop of water

        Nvidia, leader in the graphics‑chip segment, announced the deployment of innovative cooling technology using a fluid at 45°C.

         

        Closed loop, i.e. effective statistics manipulation

        Sounds hot? For a human it’s a high temperature, but for silicon servers it’s ideal operating conditions. The fluid flowing through the server racks absorbs heat, reaching 55°C, then is efficiently cooled by passive radiators using ordinary external air.

        Josh Parker, Nvidia’s sustainability chief, proudly announced on Axios that “the water‑usage challenge in data centers has largely been solved.” In favorable climatic conditions the system allows a spectacular, 100% reduction in on‑site water use.

        The fluid circulates in a completely closed loop, refilled only once over the entire life cycle of the facility. A server room without noisy fans or traditional cooling units becomes quieter, more energy‑efficient and (theoretically) eco‑friendly. 

        Wall Street reacted to these reports with enthusiasm, but inquisitive analysts quickly spotted a serious catch. Nvidia simply drew a thick line around the physical walls of its buildings.

        Everything happening directly inside was optimized, but what happens outside was completely ignored. Typical behavior of giant corporations.

        Advertising


        See also: Trump in Beijing. Nvidia shares won’t dodge the bull market? The giant’s CEO counts on a US‑China agreement

         

        The hidden cost of energy hunger

        The real problem with AI isn’t what happens in the rack cabinets, but the source of the electricity powering the chips. No data center operates in a vacuum, and the gigantic, avalanche‑like demand for electricity forces large corporations to increasingly rely on fossil fuels.

        At this point Nvidia’s huge savings end spectacularly at the very threshold of the server room.

        External water use, mainly generated by large power plants and advanced semiconductor manufacturers, can be two or even three times greater than the local water footprint of the facility. Nvidia’s innovation therefore solves only from 25% to 33% of the total water usage in the AI sector.

        According to official U.S. Geological Survey data, fossil‑fuel‑powered plants are among the largest water consumers in the U.S., absorbing almost 10.2 billion liters per day, mainly for evaporative cooling. Gas plants consume on average 1.17 liters of water per kWh generated.

        Advertising

        In the case of traditional coal this ratio rises sharply to 2.2 liters per kWh. Official IEA reports show that fossil fuels currently account for about half of all data‑center power worldwide.

         

        See also: Nvidia, Intel and AMD shares on the brink? AI devours a familiar industry

         

        Green alternatives with a spoon, not a drop of water

        Even alternative renewable energy sources bring unexpected hydrological consequences. Hydroelectric plants, supplying about 10% of the global AI sector’s power, do not use water directly in the technological process, but natural evaporation from their large retention reservoirs generates a loss of up to 6.8 liters per kWh generated.

        Meanwhile the modern geothermal being developed by tech giants is highly variable in performance depending on the chosen technology. Some startups, like Fervo, promise to use only degraded water unsuitable for municipal use, but it’s still a drop in the ocean of massive needs.

        Advertising

        The cleanest in this regard remain wind and solar, using only 0.01 and 0.03 liters per kWh respectively, already accounting for production processes and regular panel cleaning.

        If the trajectory of the global energy mix does not change radically, data centers will burn millions of liters of water indirectly, regardless of how ingenious and advanced Nvidia’s cooling systems are installed in their facilities.

        Spectacular green reports did not satisfy investors, as Nvidia shares fell 25 June closing by 1.64%, settling at 195.74 USD. 

         

        Chart. Nvidia stock price

        nvidia shares plunge the giant has an ai problem a candid confession falls grafika numer 1nvidia shares plunge the giant has an ai problem a candid confession falls grafika numer 1

        Source: TradingView.

        Advertising

         

        See also: Nvidia shares crashed! Jensen Huang encourages buying. “Everyone should be very excited”

         

        Source: TechCrunch.


        FXMAG Team

        FXMAG Team

        FXMAG’s editorial team creates high-quality content on financial markets, investing, and the global economy. We provide timely analysis and clear insights to help our audience navigate complex market dynamics.


        Topics

        Nvidia stock price today

        technology industryecommerce

        AI revolution

        nasdaqnvidiaNvidia shares

        Nvidia shares today

        AI expenses

        how much water AI consumes

        Nvidia stock price June 26

        investingnvidia stock price

        Nvidia listings

        What is the price of Nvidia shares

        wall streetstock marketenvironmentinvesting in AIstock market recommendationsstock market forecasts

        price of Nvidia shares

        Silicon Valley

        artificial intelligenceaifinancial resultstechnology

        AI costs

        Advertising
        Advertising

        Most recent

        Recomended