… and off by ~118,000X if you consider training that language model on a Google TPUv2 in our Iowa datacenter. See Table 1 and Appendix C and D of https://
arxiv.org/abs/2104.10350 for more details.
COMPUTING
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Language Model Training Efficiency on Google TPU Hardware
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Language Model Training Emissions 3261X Lower Than Previous Estimates
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The actual emissions for training a language model of the scale examined by Strubell et al. is 3261X smaller than this flawed estimate even if you consider the "P100 in average US data center on average electrical grid" scenario they were evaluating
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NAS Search Emissions Estimate Off by 88X
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… meaning the actual estimate for the one-time NAS search was off by 88X.
This highly flawed estimate was then portayed as the emissions for training a language model, rather than the one-time cost of the NAS. … -
CO2e Estimation Errors in AI Model Training Studies
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…then estimated the CO2e as if it was run on P100 GPUs in average U.S. datacenter (much higher emissions, much worse PUE, so off by ~5X from actual running environment). Worse, they missed the use of smaller proxy tasks by So et al & so were off by a further factor of 19X…
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Cloud-Native Observability Transforms Customer Experience Strategy
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Unlocking the power of #cloudnativeobservability to transform the customer experience https://
venturebeat.com/automation/unl
ocking-the-power-of-cloud-native-observability-to-transform-the-customer-experience/
… via @VentureBeat -
Wonder Dynamics AI brings full movie studio to pocket in 2 years
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You’ll have a full movie studio in your pocket in 2 years.
— AI Breakfast (@AiBreakfast) 9 mars 2023
AI tool “Wonder Dynamics” automatically animates, lights, and composes CGI characters into a live-action scene without the need for 3D software or production hardware.https://t.co/GEPm5IS1yH
@WonderDynamics pic.twitter.com/YYkRygsvYaYou’ll have a full movie studio in your pocket in 2 years. AI tool “Wonder Dynamics” automatically animates, lights, and composes CGI characters into a live-action scene without the need for 3D software or production hardware. http://
wonderdynamics.com @WonderDynamics -
Cybersecurity and Risk Management in Internet of Things
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#CyberSecurity And Risk Management In The #InternetOfThings
by @BahlRomil @Forbes Learn more: https://
buff.ly/3tEZfkt #AI #IoT #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @ronald_vanloon @pbalakrishnarao @karpathy -
Environmental Impact of Training Data Centers Simulation
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We mention "in the same data center" twice in the caption so it is clear that this is a simulation. The table aims at informing people on what kind of training is more environmental friendly (to inform future training decisions, for instance), and this is precisely what it does.
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Implementing Data Vault on Lakehouse with Delta Live Tables
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Strap on your goggles we’re taking a deep dive. Learn how to implement a #Data Vault on #Lakehouse with this live example of loading an EDW Data Vault model in real-time using #DeltaLiveTables https://
dbricks.co/3ISOYJA -
OpenXLA: Running ML Models Efficiently on Any Hardware
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You can now use and contribute to #OpenXLA Making it easy to run any model efficiently on any hardware is a deep technical challenge, and an important goal for our mission to democratize good ML!