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Sally Ward-Foxton
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Sally Ward-Foxton
@sallywf
Senior Reporter at @eetimes, reporting mainly on AI accelerators.
London, England
eetimes.com
Joined January 2009
1,210
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  • user avatar
    Sally Ward-Foxton
    @sallywf
    Dec 4, 2024
    My hot take: @intel will never find another Gelsinger. The 30-year Intel veteran, former Intel CTO and former VMWare CEO is irreplaceable.
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    Intel Will Never Find Another Gelsinger, But Do They Want One? - EE Times
    From eetimes.com
    53K
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    Sally Ward-Foxton
    @sallywf
    Aug 6, 2024
    Happy Tuesday everyone!
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    41K
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    Sally Ward-Foxton
    @sallywf
    Nov 30, 2023
    Edge AI chip companies be like:
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    28K
  • user avatar
    Sally Ward-Foxton
    @sallywf
    Sep 18, 2023
    Geeking out at @nvidia with the new GH200 🤓
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    20K
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    Sally Ward-Foxton
    @sallywf
    Jul 11, 2023
    Hands on with @EsperantoTech silicon at #dac60 - 1000 RISC-V cores on this ~25W inference chip. They have Meta OPT 13B up and running on one chip. #ai #llm #aihardware #aiinference
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    28K
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    Sally Ward-Foxton
    @sallywf
    Dec 6, 2024
    Replying to @IanCutress
    ...on 2.25 sqmm chips 😂
    8.1K
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    Sally Ward-Foxton
    @sallywf
    Aug 29, 2024
    Congrats @AMD and @UntetherAI on debut @MLPerf results! AMD MI300X matches H100's inference performance, while Untether can beat H200's power efficiency by 3x. Featuring also: @nvidia Blackwell, @intel Granite Rapids and @Google Trillium. My analysis:
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    AMD and Untether Take On Nvidia in MLPerf Benchmarks - EE Times
    From eetimes.com
    13K
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    Sally Ward-Foxton
    @sallywf
    Nov 5, 2024
    The Japanese government will send engineers to be trained in RISC-V and AI at @tenstorrent over the next 5 years. Tenstorrent gets free engineering talent, revenue from the Japanese government, and hopefully, good relationships in the engineers' companies:
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    Japan Sends Engineers to be Trained at Tenstorrent - EE Times
    From eetimes.com
    11K
  • user avatar
    Sally Ward-Foxton
    @sallywf
    Jul 24, 2025
    OK, I'll bite. Yes, making a transformer chip does mean making a large matmul engine. But there is a lot more to efficient transformer inference than GEMM/FLOPS. You need to be able to feed and use those FLOPS efficiently. (1/x)
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    SemiAnalysis
    @SemiAnalysis_
    Jul 24, 2025
    Although "baking transformers in silicon" may sound cool, it is mostly just a marketing slogan. 90% of Transformers FLOPS are just GEMMs and 256x256/128x128 systolic arrays in TPU/Trainium are already optimized for GEMMs. Even modern GPGPU (with Tensor cores) are optimized well
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    27K
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    Sally Ward-Foxton
    @sallywf
    Mar 5, 2024
    .@BrainChip_inc is now offering its #neuromorphic #ai chips in an edge box suitable for security camera systems. Why are edge boxes becoming an increasingly popular path to market for edge AI chip makers? And what is BrainChip's strategy for edge boxes?
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    BrainChip Adds Edge Box to Chip and IP Offerings - EE Times
    From eetimes.com
    2.8K
  • user avatar
    Sally Ward-Foxton
    @sallywf
    May 7, 2024
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    Ryan Shrout
    @ryanshrout
    May 7, 2024
    I’m Paris with the family this week…but had to tweet this part of the M4 announcement out: apple.com/newsroom/2024/… "The Neural Engine in M4 is Apple’s most capable yet, and is more powerful than any neural processing unit in any AI PC today." It’s 38 TOPS. The @Snapdragon X
    8.1K
  • user avatar
    Sally Ward-Foxton
    @sallywf
    May 18, 2023
    Called by @tenstorrent to interview Jim Keller and get a look at new Wormhole cards! Thanks for having me!
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  • user avatar
    Sally Ward-Foxton
    @sallywf
    Jul 25, 2022
    Carmakers are testing neuromorphic technologies based on spiking neural networks. What will cars do with their newly found brain power? Featuring hardware from @SynSenseNeuro @BrainChip_inc. #snn #spiking #spikingneuralnetwork #automotive #neuromorphic
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    Cars That Think Like You - EE Times
    From eetimes.com
  • user avatar
    Sally Ward-Foxton
    @sallywf
    Oct 22, 2021
    Neuromorphic IP vendor @BrainChip_inc now has dev kits available. The company converts CNNs to spiking networks so they can run on BrainChip's Akida processor, which reduces power consumption and enables on-chip learning at the edge. #ai #neuromorphic
    eetimes.com
    BrainChip Launches Event-Domain AI Inference Dev Kits - EE Times
    BrainChip converts CNNs to spiking networks to reduce power and enable on-chip learning at the edge.

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