{"id":231316,"date":"2026-06-14T07:30:00","date_gmt":"2026-06-14T11:30:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/14\/ai-cryptomining-networks-320000-rtx-3090-class-gpus-allegedly-burn-112-megawatts-of-power-on-zero-useful-ai-computation-gpu-rental-costs-jump-38-but-pearls-card\/"},"modified":"2026-06-14T07:35:13","modified_gmt":"2026-06-14T11:35:13","slug":"ai-cryptomining-networks-320000-rtx-3090-class-gpus-allegedly-burn-112-megawatts-of-power-on-zero-useful-ai-computation-gpu-rental-costs-jump-38-but-pearls-card","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/14\/ai-cryptomining-networks-320000-rtx-3090-class-gpus-allegedly-burn-112-megawatts-of-power-on-zero-useful-ai-computation-gpu-rental-costs-jump-38-but-pearls-card\/","title":{"rendered":"AI cryptomining network’s 320,000 RTX 3090-class GPUs allegedly burn 112 megawatts of power on \u2018zero useful AI computation\u2019 \u2014 GPU rental costs jump 38%, but Pearl\u2019s cards are doing random matrix math, study claims"},"content":{"rendered":"

AI cryptomining network’s 320,000 RTX 3090-class GPUs allegedly burn 112 megawatts of power on \u2018zero useful AI computation\u2019 \u2014 GPU rental costs jump 38%, but Pearl\u2019s cards are doing random matrix math, study claims<\/a><\/p>\n

https:\/\/www.tomshardware.com\/tech-industry\/artificial-intelligence\/ai-cryptomining-networks-320-000-rtx-3090-class-gpus-allegedly-burn-112-megawatts-of-power-on-zero-useful-ai-computation-pearls-gpus-are-doing-random-matrix-math-study-claims<\/a><\/p>\n

Publish Date: 2026-06-14 07:30:00<\/a><\/p>\n

Source Domain: www.tomshardware.com<\/a><\/p>\n

Here is a concise summary of the key points from the article using an unordered list:<\/p>\n

– A new research preprint suggests Pearl’s blockchain system is performing no actual AI computation, despite attracting a GPU mining rush recently.
\n– The study estimates Pearl’s network hash rate at around 24 EH\/s, equivalent of drawing power equivalent to 320,000 RTX 3090 GPUs, yet produces “zero useful AI computation.”
\n– Researchers found a 38% increase in budget GPU rental prices on vast.ai after Pearl mining software was released in May 2023.
\n– Instead of real AI inference or training, Pearl seems to be performing random matrix multiplication that resembles AI workload.
\n– Pearl\u2019s proof-of-work scheme (cuPOW) checks multiplication correctness but does not authenticate whether it\u2019s connected to real AI work.
\n– Abhinaba Basu created a miner feeding the network random matrices to show the gap between claimed useful work and what is actually happening.
\n– The study found that the majority of miners ran hardware capable of AI inference but no identifiable machine-learning framework code.
\n– The increase in GPU usage reduced availability, thus making computing resources less accessible for independent researchers.
\n– Although Pearl\u2019s claim is not disproven by the study, its protocol seems ineffective at enforcing true useful computation.
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