Posts con #GraphCore

#GraphCore

Posts públicos de X que usan #GraphCore.

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  1. Graphcore@graphcoreai
    First career move on your mind? Let’s talk! 🚀 We’re at the @unisouthampton, meeting students and talking careers at Graphcore. Come say hello, bring your questions and discover where your ideas could take you. #Graphcore #EarlyCareers
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  2. Theresa Thoraldson@tthoraldson
    Day 57/66 of #66daysofdata: Listened to an episode of the Lex Fridman podcast with Ben Goertzel and went down the cognitive architecture rabbit hole. Pretty hyped on #graphcore, looking to dive into the docs tomorrow.
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  3. Payel Das@payel791
    @payel791
    2. Reducing Down(stream)time: Pretraining Molecular GNNs Using Heterogeneous AI Accelorators at Machine Learning and the Physical Sciences by Jenna Bilbrey and coauthors from #pnnl and #graphcore and myself tomorrow at room 275
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  4. Karl Freund✓@karlfreund
    I have looked deeper into the data center architecture prescribed by the #Graphcore #AI processor design. It is refreshingly simple, scalable, and flexible. Check it out here:
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  5. The.dabar@Dabarnetwork
    SoftBank acquires UK-based Graphcore, boosting global AI hardware innovation. Graphcore's IPU technology aims to redefine AI processing capabilities. Read more: #Graphcore #AI #TechNews
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  6. 彭博商業周刊 / 中文版@BloombergBWCN
    【晶片管制】輝達競爭對手Graphcore撤離中國 裁撤大部分當地崗位 英國晶片設計商Graphcore將在中國裁掉大部分員工並終止銷售,意味著這家一度被視為輝達潛在競爭對手的初創公司再次遇挫。該公司稱,撤離原因是美國最近的出口管制措施限制了對華技術出售。 #Graphcore #輝達
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  7. NewsRank.io@NewsRankIO
    📢 @SoftBank is negotiating the purchase of the British startup #Graphcore, which produces semiconductors. Earlier this company was valued at $2.3 billion.
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  8. Dylan Patel✓@dylan522p
    #Graphcore, a $2.8B AI startup, looks like a failure! Their hardware and software don't measure up. Versus #Nvidia, they require 2x the 7nm silicon to achieve slower results with higher pricing, lower TCO, worse scaling, and less software support! $NVDA
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  9. Giulia Guidi@giuliaguidi
    Our paper “Space Efficient Sequence Alignment for SRAM-Based Computing: X-Drop on the #Graphcore IPU” has been featured in the @CornellNews and it'll be presented at @Supercomputing #SC23 by Luk Burchard on November 14: #HPC
    Cornell Chronicle @CornellNews
    Better genome assembly — through AI? A hardware accelerator, developed for #ArtificialIntelligence operations, can speed up alignment of protein and DNA molecules, making the process up to 10 times faster than current methods. @CornellCIS @Supercomputing
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