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Amazon Inferentia Reviews and details

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  • Amazon Inferentia Landing page
    Landing page //
    2023-04-14

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We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Amazon Inferentia and what they use it for.
  • Amazon spends $2.7B on startup Anthropic in largest venture investment
    > Here it says they're going to use Amazon's chips for training and inference, but...Amazon doesn't have its own chips yet??? Amazon has had its own chips for years. https://aws.amazon.com/machine-learning/inferentia/ https://aws.amazon.com/machine-learning/trainium/. - Source: Hacker News / 7 months ago
  • Amazon spends $2.7B on startup Anthropic in largest venture investment
    No idea if it's any good or not, but Amazon has their own "Inferentia" chips. https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 7 months ago
  • Nvidia releases new AI chip with 480GB CPU RAM, 96GB GPU RAM
    You can use them today on AWS. [0] https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / over 1 year ago
  • Sundar Pichai: An important next step on our AI journey
    Amazon has their own TPU equivalents for training and inference: https://aws.amazon.com/machine-learning/trainium/ https://aws.amazon.com/machine-learning/inferentia/ But, I really don't think this would be a limiting factor regardless. It's not as if an Amazon or Microsoft sized company is incapable of developing custom silicon to meet an objective, once an objective is identified. - Source: Hacker News / over 1 year ago
  • Amazons home made server chips vs AMDs
    You are mistaken. See https://en.m.wikipedia.org/wiki/Annapurna_Labs and some of their work (specialized chips similar to Google’s TPU): https://aws.amazon.com/machine-learning/inferentia/. Source: almost 2 years ago
  • Starting places to learn about GPU acceleration and hardware optimization in Deep Learning context?
    I work as an ML engineer, but have never worked on any deep learning tasks other than experimental, and I do not deal with particularly large datasets for the most part. I am familiar with the basics of the larger DL frameworks and have done some projects here and there, but I have very little understanding of the hardware side of things. I was at an AWS conference and attended a session about their then new ml... Source: over 3 years ago

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