Mr. Singularity | The Trillion-Transistor Chip That Just Left a Supercomputer in the Dust @MrSingularity | Uploaded January 2021 | Updated October 2024, 3 hours ago.
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🔥 The Trillion-Transistor Chip That Just Left a Supercomputer in the Dust 🔥
💠 The Cerebras Wafer-Scale Engine is 8.5 inches wide and contains 1.2 trillion transistors. The next biggest chip, the NVIDIA A100 GPU, measures one inch at a time and has only 54 billion transistor. The WSE has made its way into a handful of supercomputing labs, including the National Energy Technology Laboratory. Researchers pitted the chip against a supercomputer in a fluid dynamics simulation and found it to be faster than the supercomputer. The team said that the chip completed a combustion simulation in a power plant approximately 200 times faster.
Joule is the 81st fastest supercomputer in the world, with a price tag of $1.2 billion. The WSE is bigger than the average supercomputer, and it's all about design. The company uses couriers to send and collect documents from other branches and archives across the city. It's like an old-fashioned company doing all its business on paper, but on silicon wafers, and the process takes place within a silicon wafer, not a sheet of paper. The CS-1 is the world's largest supercomputer.
Cerebras has developed a chip that can handle problems small enough to fit on a wafer. The megachip is far more efficient than a traditional supercomputer that needs a ton of traditional chips to be networked. Next-generation chip will have 2,6 trillion transistors, 850,00 cores, and more than double the memory. It still remains to be seen whether wafer-scale computing really does take off, but Cerebras is the first to seriously pursue it.
Thanks and Enjoy 🙂
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🎥 #Trillion #Transistor #Chip
Sources:
⚉ images.nvidia.com/aem-dam/en-zz/Solutions/data-center/nvidia-ampere-architecture-whitepaper.pdf
⚉ arxiv.org/pdf/2010.03660.pdf
⚉ cerebras.net/blog/beyond-ai-for-wafer-scale-compute-setting-records-in-computational-fluid-dynamics
⚉ businesswire.com/news/home/20201117005379/en/Cerebras-Systems-and-National-Energy-Technology-Laboratory-Set-New-Compute-Milestone
⚉ zdnet.com/article/cerebras-teases-second-generation-wafer-scale-ai-chip
⚉ nextplatform.com/2020/10/23/is-there-a-wafer-scale-revolution-on-the-horizon
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✅ TURN ON NOTIFICATIONS TO NEVER MISS AN UPLOAD! 🔔🔔
✅ CLICK SUBSCRIBE Here For More: ➡️ bit.ly/Hal9o0o ⬅️
✅ COMMENT down below if you wanna say something profound 👇
=======================
🔥 The Trillion-Transistor Chip That Just Left a Supercomputer in the Dust 🔥
💠 The Cerebras Wafer-Scale Engine is 8.5 inches wide and contains 1.2 trillion transistors. The next biggest chip, the NVIDIA A100 GPU, measures one inch at a time and has only 54 billion transistor. The WSE has made its way into a handful of supercomputing labs, including the National Energy Technology Laboratory. Researchers pitted the chip against a supercomputer in a fluid dynamics simulation and found it to be faster than the supercomputer. The team said that the chip completed a combustion simulation in a power plant approximately 200 times faster.
Joule is the 81st fastest supercomputer in the world, with a price tag of $1.2 billion. The WSE is bigger than the average supercomputer, and it's all about design. The company uses couriers to send and collect documents from other branches and archives across the city. It's like an old-fashioned company doing all its business on paper, but on silicon wafers, and the process takes place within a silicon wafer, not a sheet of paper. The CS-1 is the world's largest supercomputer.
Cerebras has developed a chip that can handle problems small enough to fit on a wafer. The megachip is far more efficient than a traditional supercomputer that needs a ton of traditional chips to be networked. Next-generation chip will have 2,6 trillion transistors, 850,00 cores, and more than double the memory. It still remains to be seen whether wafer-scale computing really does take off, but Cerebras is the first to seriously pursue it.
Thanks and Enjoy 🙂
- - -
🎥 #Trillion #Transistor #Chip
Sources:
⚉ images.nvidia.com/aem-dam/en-zz/Solutions/data-center/nvidia-ampere-architecture-whitepaper.pdf
⚉ arxiv.org/pdf/2010.03660.pdf
⚉ cerebras.net/blog/beyond-ai-for-wafer-scale-compute-setting-records-in-computational-fluid-dynamics
⚉ businesswire.com/news/home/20201117005379/en/Cerebras-Systems-and-National-Energy-Technology-Laboratory-Set-New-Compute-Milestone
⚉ zdnet.com/article/cerebras-teases-second-generation-wafer-scale-ai-chip
⚉ nextplatform.com/2020/10/23/is-there-a-wafer-scale-revolution-on-the-horizon
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![Looking Through The Arrow of Time [Explained] #TimeDilation](https://i.ytimg.com/vi/SFE6oi59j1c/hqdefault.jpg "Looking Through The Arrow of Time [Explained] #TimeDilation
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⚉ There is nothing in physics that matches the notion of the now according to physics, writes physicist Richard Cantor. Cantor: Is the present something in the world that is objective, that flows and that makes things exist? For all of us the passage of time is obvious, in time there are our thoughts and our speech, he says. Martin Heidegger, the German philosopher, emphasized our time residence, Cantor says. Those like us who believe in science realize that the differentiation created between history, current and potential is nothing but a constant, obstinate illusion, he adds.
Time flow emerges from physics but not in the context of an accurate description of things as they are, writes Heidegger. Time is at the heart of the tangle of problems created by gravity, quantum mechanics, and thermodynamics collision. We do not yet have a theory that can draw these three essential pieces of our knowledge of the world together. Because of the limitations of our consciousness, we perceive only a blurred worldview, and live in time, says Heideggers. There is still too much to be learned.
Hawking has shown that black holes have a temperature using quantum mechanics. This phenomenon involves all three sides of the issue: quantum mechanics, relativity in general, and thermal sciences. In the end, the heat of black holes seems to be like the Rosetta stone of science.
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🎥 #TimeDilation #Relativity #SpaceTime
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