AMD could have quite an AI year in 2024 Advanced Micro Devices indicated its data center sales could surge in 2024 by almost ten-fold. This would take the company’s business to a new level as it would bring direct, meaningful competition to Nvidia for artificial intelligence.
COMPUTING
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IBM Toronto Data Centre 1963: Computing History Milestone
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Fall’n down memory lane Pictured below: IBM Toronto Data Centre, 1963
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From Microsoft to DeepMind: Building a Unique AI Research Career
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Ever considered a unique career in AI? @gordic_aleksa
's journey from research engineer at Microsoft and DeepMind exemplifies how curiosity, determination, and practical learning create AI opportunities. -
Causality Leak Wastes Massive Computational Resources
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We call that a causality leak, so sorry for your wasted 6e25 flops
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Underrepresented Computer Users in Tech Industry Discussion
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Right, this is the exact target for this type of setup. Actually I think there are MORE people that use their computers like number 1 than number 2. But they are not represented here, or in the tech world over all. But in reality they are plenty.
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70B LLM Inference Optimization in Kaggle Competitions
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Yes exactly that – although it's particularly used by Kagglers in competitions, since many of them *require* using Kaggle's infra. In a recent competition one person got 70B inference running in 14GB RAM! :O
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Training Strong Models with Limited CPU and RAM Resources
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This is an answer to your question "Have any of you run into compute cloud providers that had particularly weak CPUs?" It's an interesting platform for seeing how people handle extremely low RAM/CPU availability and still train strong models. It's impressive what people manage!
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AI as General Purpose Computation Under Attack
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This is a good point – AI is becoming an increasingly important way of doing general purpose computation…
and once again we are seeing a war on general purpose computation. -
Sparse Transformations Maximize Neural Network Training Efficiency
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(1/2) We are excited to share that our paper "Sparse Iso-FLOP Transformations for Maximizing Training Efficiency" has been accepted by the Workshop on Advancing Neural Network Training (WANT) at #neurips2023! Read our blog for more information: https://
cerebras.net/blog/can-spars
ity-make-ai-models-more-accurate
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PlayStation 2 export controls: computing power restrictions precedent
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Like when there was an export control on computers above 1 GFLOPS and when the Sony PlayStation-2 came out in 2000, it was above the limit https://
theregister.com/2000/04/17/pla
ystation_2_exports/
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