(2/n) MediSwift capitalizes on our most recent innovations in sparsity, inducing up to 75% unstructured weight sparsity during in-domain pre-training on biomedical texts. This results in a 2-2.5x reduction in the required training FLOPs. Blog: https://
cerebras.net/blog/sparsity-
made-easy-introducing-the-cerebras-pytorch-sparsity-library
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HARDWARE
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MediSwift Achieves 75% Sparsity, Reduces Training FLOPs by 2.5x
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UAI joins SOAFEE for energy-efficient AI acceleration autonomous driving
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UAI proudly joins #SOAFEE to drive energy-efficient #AI acceleration for software-defined vehicles. Our expertise will enable high-performance, low-latency solutions for #autonomous driving at the #edge & #cloud as centralized car platforms create demand. https://
tinyurl.com/untetherai-soa
fee
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Leading Voice Chatbot Provider Integrates Groq’s AI Processor
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https://
hubs.la/Q02nkhz40, the leading provider of voice-enabled chatbot solutions, announced the integration of Groq’s Language Processing Unit™ Inference Engine, the world’s fastest AI processor, into its platform this week." https://
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Crowdsourced GPU Cluster Ratings and TPU Comparison
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Great post by Yi.
It's time for crowd-sourced ratings for GPU clusters. Maybe an AirBnB for GPU Clusters. I also tried to explain some of the differences between TPU clusters and most public GPU clusters; as well as made some practical recommendations here: -
XLA-RT and Lower-Level TPU Infrastructure Documentation
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lower layer, as I understand. XLA-RT or something? The lower-level TPU stuff is not well-documented publicly 🙂
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GPU Cluster Ratings System: Reliability and Performance Comparison
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Great post Yi! We definitely need a Ratings mechanism for GPU Clusters (ala Airbnb for GPU Clusters). You are correct that large-scale GPU clusters that we carefully build are way more reliable and performant. I also want to point out some differences compared to TPU clusters
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AI, 5G, and Cloud: Transforming Connected Devices into Intelligent Systems
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We can envision a world where devices do more than connect—they learn and evolve. #AI is the driving force behind this transformation, with #5G providing the necessary speed, #IoT supplying abundant data, and #Cloud technology ensuring accessibility. #MWC24 @MWCHub @GSMA
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Operators and Vendors Increase Edge Compute Infrastructure Investment in 2024
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In 2024, 70% of #operators and #telco equipment vendors are set to boost their investment in #edge compute infrastructure, marking an increase from their spending levels in 2023. Source: @GSMAi #MWC24 #AI #5G #IoT #CSPs #Telecom #DigitalTransformation @MWCHub @GSMA
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Llama 7B Training on Single RTX 4090 GPU Memory Efficient
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For the first time, we show that the Llama 7B LLM can be trained on a single consumer-grade GPU (RTX 4090) with only 24GB memory. This represents more than 82.5% reduction in memory for storing optimizer states during training. Training LLMs from scratch currently requires huge
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Intel Builds Cost-Efficient Automated Adaptable Networks for Businesses
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#Intel is building cost-efficient, #automated, & adaptable networks to accelerate new solutions for businesses & consumers. Learn more: https://
zurl.co/Jfbi @Intel #MWC24 #IoT @Inteliot #IntelAmbassador