Difference between revisions of "Tesla Dojo"

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[[wikipedia:Dojo]] [[Tesla]] [[supercomputer]] based on self developed chip.
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[[wikipedia:Tesla Dojo]] is an [[artificial intelligence]] (AI) [[neural network]] training [[supercomputer]] based on self developed chip.
  
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The [[D1 chip]] (August, [[2021]]), that would be used in Dojo supercomputer, according to Venkataramanan uses a 7-[[nanometer]] manufacturing process, with 362 [[teraflops]] of processing power.
  
 
* [[Exaflop]]
 
* [[Exaflop]]
 
* [[Neuronal network]]
 
* [[Neuronal network]]
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* [[Ganesh Venkataramanan]]
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Tesla Dojo whitepaper was released in September 2021<ref>{{cite web |title=Tesla Dojo Technology |url=https://tesla-cdn.thron.com/static/SBY4B9_tesla-dojo-technology_OPNZ0M.pdf?xseo=&response-content-disposition=inline%3Bfilename%3D%22tesla-dojo-technology.pdf |publisher=Tesla |access-date=29 October 2021}}</ref> Configurable
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== Related ==
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* [[Gartner research]] vice president [[Chirag Dekate]]
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* [[Fugaku]] (supercomputer)
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* [[Float8]] (CFloat8), an 8-bit [[floating point]] format
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* SHP, [[UHP]]
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* [[TRIP]]
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* [[Tesla AI Day 2]]: September [[2022]]
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* [[Tesla AI Day]]
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* [[Coefficient of thermal expansion (CTE)]]
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* [[bfloat16]] [[floating-point]] format
  
 
== See also ==
 
== See also ==
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* {{Dojo}}
 
* {{Tesla}}
 
* {{Tesla}}
  
 
[[Category:Tesla]]
 
[[Category:Tesla]]
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[[Category:Supercomputer]]

Latest revision as of 19:13, 2 May 2024

wikipedia:Tesla Dojo is an artificial intelligence (AI) neural network training supercomputer based on self developed chip.

The D1 chip (August, 2021), that would be used in Dojo supercomputer, according to Venkataramanan uses a 7-nanometer manufacturing process, with 362 teraflops of processing power.

Tesla Dojo whitepaper was released in September 2021[1] Configurable

Related[edit]

See also[edit]

  • "Tesla Dojo Technology" (PDF). Tesla. Retrieved 29 October 2021.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
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