Difference between revisions of "Tesla Dojo"

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[[wikipedia:Tesla Dojo]] is an [[artificial intelligence]] (AI) [[neural network]] training [[supercomputer]] based on self developed chip.
 
[[wikipedia:Tesla Dojo]] is an [[artificial intelligence]] (AI) [[neural network]] training [[supercomputer]] based on self developed chip.
  
The [[D1 chip]], that would be used in Dojo supercomputer, according to Venkataramanan uses a 7-[[nanometer]] manufacturing process, with 362 [[teraflops]] of processing power.
+
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]]
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* SHP, [[UHP]]
 
* SHP, [[UHP]]
 
* [[TRIP]]
 
* [[TRIP]]
* [[Tesla AI Day 2]]
+
* [[Tesla AI Day 2]]: September [[2022]]
 +
* [[Tesla AI Day]]
 
* [[Coefficient of thermal expansion (CTE)]]
 
* [[Coefficient of thermal expansion (CTE)]]
 
* [[bfloat16]] [[floating-point]] format
 
* [[bfloat16]] [[floating-point]] format

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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