Difference between revisions of "Tesla Dojo"
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↑ "Tesla Dojo Technology" (PDF). Tesla. Retrieved 29 October 2021.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
(Created page with "Dojo Tesla supercomputer based on self developed chip. == See also == * {{Tesla}}") Tags: Mobile web edit, Mobile edit |
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| − | Dojo [[ | + | [[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. | ||
| + | * [[Exaflop]] | ||
| + | * [[Neuronal network]] | ||
| + | * [[Ganesh Venkataramanan]] | ||
| + | |||
| + | 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 | ||
| + | |||
| + | == Related == | ||
| + | * [[Gartner research]] vice president [[Chirag Dekate]] | ||
| + | * [[Fugaku]] (supercomputer) | ||
| + | * [[Float8]] (CFloat8), an 8-bit [[floating point]] format | ||
| + | * [[SHP]], [[UHP]] | ||
| + | * [[TRIP]] | ||
| + | * [[Tesla AI Day 2]]: September [[2022]] | ||
| + | * [[Tesla AI Day]] | ||
| + | * [[Coefficient of thermal expansion (CTE)]] | ||
| + | * [[bfloat16]] [[floating-point]] format | ||
| + | * [[Tesla FSD Chip]] | ||
== See also == | == See also == | ||
| + | * {{Dojo}} | ||
* {{Tesla}} | * {{Tesla}} | ||
| + | |||
| + | [[Category:Tesla]] | ||
| + | [[Category:Supercomputer]] | ||
Latest revision as of 12:24, 6 October 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]
- Gartner research vice president Chirag Dekate
- Fugaku (supercomputer)
- Float8 (CFloat8), an 8-bit floating point format
- SHP, UHP
- TRIP
- Tesla AI Day 2: September 2022
- Tesla AI Day
- Coefficient of thermal expansion (CTE)
- bfloat16 floating-point format
- Tesla FSD Chip
See also[edit]
- Tesla Dojo, Ganesh Venkataramanan
- Tesla, LIB, Tesla Model 3, Tesla Cybertruck, Tesla Model S, Tesla Model X, Tesla Model Y, Tesla Autopilot, Tesla Megapack, Tesla Plaid trim, Andrej Karpathy, Elon Musk, Tesla Shanghai, Giga Berlin, Supercharger, OTA, Tesla Active Safety Features, Dojo (D1 chip), Tesla TRIP, Tesla Powerwall, 1280, Tesla roadside assistance, Tesla Supercharger, Tesla safety, Tesla Bot (Optimus), YouTube Tesla, SolarCity, GB/T, Tesla app, Tesla Solar Roof, The Boring Company, Robotaxi
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