{"id":23258,"date":"2026-01-07T08:00:25","date_gmt":"2026-01-06T23:00:25","guid":{"rendered":"https:\/\/minnano-rakuraku.com\/contents\/?p=23258"},"modified":"2026-01-16T09:51:52","modified_gmt":"2026-01-16T00:51:52","slug":"cgla-en","status":"publish","type":"post","link":"https:\/\/minnano-rakuraku.com\/contents\/en\/cgla-en-23258\/","title":{"rendered":"Can Former PlayStation Engineers Dethrone NVIDIA? Meet the Japanese AI Chip Slashing Power Use by 90%"},"content":{"rendered":"

While the world marvels at the rapid evolution of Generative AI like ChatGPT<\/strong> and Gemini<\/strong>, a silent crisis is brewing in the background: the staggering energy consumption of the data centers powering these models. As the tech industry grapples with an ongoing NVIDIA GPU<\/strong> shortage and soaring electricity costs, a group of legendary engineers from Japan is stepping up with a potential game-changer.<\/p>\n

The team behind the iconic hardware of the PlayStation 2<\/strong> and PlayStation 3<\/strong> has reunited to tackle AI’s biggest bottleneck. Their weapon? A revolutionary new chip architecture called CGLA<\/strong>, which claims to reduce power consumption by a staggering 90%<\/strong> compared to traditional NVIDIA GPUs.<\/p>\n

In this article, we\u2019ll dive into the technology developed by the Japanese startup LENZO<\/strong>, explore how CGLA differs from current industry standards like Google\u2019s TPU, and see how it might reshape the future of artificial intelligence.<\/p>\n

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What is CGLA? The “Dream Team” Reinventing AI Efficiency<\/h2>\n

\"LENZO\u682a\u5f0f\u4f1a\u793e\u30c8\u30c3\u30d7\u30da\u30fc\u30b8\u30ad\u30e3\u30d7\u30c1\u30e3\"<\/p>\n

(Source: Lenzo<\/a>)<\/p>\n

CGLA<\/strong> stands for Coarse Grained Linear Array<\/strong>. It is a novel architecture designed from the ground up to maximize AI processing efficiency.<\/p>\n

The startup behind this breakthrough, LENZO<\/strong><\/a>, is led by a “dream team” of Japanese engineering. The roster includes the veteran designers of the PlayStation\u2019s core CPUs and supercomputer experts from Fujitsu<\/strong>. These engineers are now applying their decades of experience\u2014honed by squeezing every drop of performance out of gaming consoles\u2014to solve the energy crisis in AI.<\/p>\n

The Secret to 90% Energy Savings: Stopping the “Data Commute”<\/h2>\n

The primary reason current AI chips consume so much power isn’t actually the “calculating” itself\u2014it\u2019s the moving<\/strong> of data. Research from NVIDIA shows that moving data just 1mm within a chip consumes more energy (26 picojoules) than the actual computation (20 picojoules).<\/p>\n

Traditional CPUs and GPUs use what is known as the “von Neumann architecture,”<\/strong> where the processing unit and memory are separate.<\/p>\n

Think of it like a kitchen:<\/p>\n