#tpuv4 - Twitter Hashtag

about 3 years ago

TPU v5e, @Google’s #AIchip, will succeed the previous-generation #TPUv4. Find out about its development and its features. https://t.co/fn7MhRjH0A

HPCwire's tweet photo. TPU v5e, @Google’s #AIchip, will succeed the previous-generation #TPUv4. Find out about its development and its features. https://t.co/fn7MhRjH0A https://t.co/elrKWItKAm

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HPC Guru @HPC_Guru

about 3 years ago

.@Microsoft & researchers @UW have cooked up Chiplet Cloud, which in theory can beat the pants off an @Nvidia #A100 GPU and a @Google #TPUv4 running Microsoft’s GPT-3 175B and Google’s PaLM 540B model for #inference https://t.co/hIHwqAw5OG #AI via @TheNextPlatform

HPC_Guru's tweet photo. .@Microsoft & researchers @UW have cooked up Chiplet Cloud, which in theory can beat the pants off an @Nvidia #A100 GPU and a @Google #TPUv4 running Microsoft’s GPT-3 175B and Google’s PaLM 540B model for #inference

https://t.co/hIHwqAw5OG

#AI via @TheNextPlatform https://t.co/ON1cE5TgOw

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liwaiwai institute @liwaiwaicom

over 3 years ago

Google’s Cloud #TPU V4 Provides Exaflops-Scale #ML With Industry-Leading Efficiency https://t.co/mRdAuDwode #MachineLearning #TPUv4 #Hardware #Processors #Systems #TensorProcessingUnit #GoogleCloud

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HPCwire @HPCwire

over 3 years ago

A new scientific paper from @googlecloud details the performance of its Cloud #TPUv4 supercomputing platform, claiming it provides exascale performance for #machinelearning with boosted efficiency. https://t.co/lCDVD7KG2J

HPCwire's tweet photo. A new scientific paper from @googlecloud details the performance of its Cloud #TPUv4 supercomputing platform, claiming it provides exascale performance for #machinelearning with boosted efficiency. https://t.co/lCDVD7KG2J https://t.co/3mAFthyShX

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Rolf Drechsler @Rolf_Drechsler

over 3 years ago

#Google says its new AI Supercomputer with #TPUv4 chips, outperforms #Nvidia’s A100 in speed https://t.co/PSnNsevEa6 #ArtificialIntelligence #DeepLearning #MachineLearning

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HPC Guru @HPC_Guru

almost 4 years ago

@TDaytonPM @TheNextPlatform Google #TPUv4: Modest improvements in performance compared to Nvidia's #A100 #GPU - however #AI training cost is lower (35% BERT, 50% ResNet) Will be interesting to see updates to these charts when Nvidia releases the #H100 #HPC via @TDaytonPM

HPC_Guru's tweet photo. @TDaytonPM @TheNextPlatform Google #TPUv4: Modest improvements in performance compared to Nvidia's #A100 #GPU - however #AI training cost is lower (35% BERT, 50% ResNet)

Will be interesting to see updates to these charts when Nvidia releases the #H100

#HPC via @TDaytonPM https://t.co/o4TCQMTqM2

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HPC Guru @HPC_Guru

almost 4 years ago

Google has been trickling out information about the #TPUv4 architecture without being terribly specific about the feeds and speeds of the system @TDaytonPM does at deep dive in @TheNextPlatform https://t.co/jxNdB3Uava #AI #HPC

HPC_Guru's tweet photo. Google has been trickling out information about the #TPUv4 architecture without being terribly specific about the feeds and speeds of the system

@TDaytonPM does at deep dive in @TheNextPlatform

https://t.co/jxNdB3Uava

#AI #HPC https://t.co/FUcuAafBQQ

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Ray Summit @Ray_Summit_Live

over 4 years ago

Modern language models are big. Really big. So new approaches are needed for efficient distributed training. Don’t miss the #RaySummit talk from the team at @CohereAI, who will share how they’ve improved efficiency with @raydistributed, #JAX, and #TPUv4: https://t.co/gsXSHa9j4K

Ray_Summit_Live's tweet photo. Modern language models are big. Really big. So new approaches are needed for efficient distributed training.

Don’t miss the #RaySummit talk from the team at @CohereAI, who will share how they’ve improved efficiency with @raydistributed, #JAX, and #TPUv4: https://t.co/gsXSHa9j4K https://t.co/xXgpnBVZmR

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AI타임스(AITIMES) @AITimes_News

over 4 years ago

LG와 카카오 '초거대 AI' 뒤에 구글 'TPU v4' 있다 #구글 #구글클라우드 #TPU #TPUv4 #머신러닝클러스터 ##머신러닝 #LGAI연구원 #엑사원 #카카오브레인 #코지피티 #KoGPT #초거대AI https://t.co/uNdwMI7ySe

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Karl Freund

@karlfreund

over 4 years ago

Now we know why @Google took so long to make #TPUv4 generally available: They were going BIG! 4096 TPUv4s in a POD, at over 1 Exaflop BFloat16 per POD and 8 PODs ready for access! https://t.co/sgu0gIlDMJ

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TechThought.org

@TechThought_org

over 5 years ago

In case you missed, @sundarpichai announced @googlecloud's Launch of #TPUv4 #AI Processor, able to achieve > 1 #Exaflop with clustered deployments & benchmarks coming soon.. https://t.co/gywn8iXwZk

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