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graphcore.ai

Company blog · graphcore.ai/postshardwareai

graphcore.ai is the company blog at graphcore.ai, writing about hardware and ai. Since 2016, 42 different Hacker News readers have linked it 52 times, most often “Inside an AI 'brain' – What does machine learning look like?”. It is still writing: the last post was on 2026-08-26, and you can follow it by feed.

Visit the blog
52mentions?
42HN people?
2016–2025first – last linked?
Links on Hacker News per year · peak 8 in 2017

Too few sampled comments (19) to say how often HN recommends it.?

Why HN links it

Graphcore's company blog, with product pages, benchmark posts and technical explanations of its IPU AI chips. HN readers link it for chip architecture, product details and company news.

Summarised by Claude from a sample of 19 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Graphcore has built a new type of processor for machine intelligence to accelerate machine learning and AI applications for a world of intelligent machines

Most-linked posts?

  1. /
    6 people · 6 mentions · first linked 2018-04-21
  2. Inside an AI 'brain' – What does machine learning look like?
    5 people · 5 mentions · first linked 2017-02-15
  3. The Next Big Thing: Introducing IPU-POD128 and IPU-POD256
    2 people · 2 mentions · first linked 2021-10-21
  4. Graphcore Sets New AI Performance Standards with Mk2 IPU Systems
    2 people · 2 mentions · first linked 2020-12-09
  5. Introducing 2nd Generation IPU Systems for AI at Scale
    2 people · 2 mentions · first linked 2020-07-15
  6. Inside an AI 'brain' - what does machine learning look like?
    2 people · 2 mentions · first linked 2019-02-11
  7. The Good Computer
    2 people · 2 mentions · first linked 2022-03-03
  8. SoftBank Buys Graphcore
    2 people · 2 mentions · first linked 2024-07-12

What Hacker News says?

  1. Companies like https://myrtle.ai/ and https://www.graphcore.ai/ are popping up.

    Comment linking /

    on “AMD is having its day”
  2. Submitted Why is so much memory needed for deep neural networks? as a story · 148 points

    HN discussion
  3. Have you heard of the billion dollar unicorn from England, United Kingdom called Graphcore? https://m.youtube.com/watch?v=_zvU0uwIafQ https://www.graphcore.ai/products/mk2/ipu-machine-ipu-pod

    Comment linking /products/mk2/ipu-machine-ipu-pod

    on “AMD Reports Q2 2020 Earnings”
  4. Submitted Inside an AI 'brain' – What does machine learning look like? as a story · 124 points

    HN discussion
  5. I agree. I have high hope for Graphcore. They stated "We will be participating in MLPerf in 2021, starting with the first training submission in the spring". https://www.graphcore.ai/posts/graphcore-sets-new-ai-perform... (I would ignore all benchmarks in that post except the sentence quoted above however.)

    Comment linking /posts/graphcore-sets-new-ai-performance-standards-with-mk2-ipu-systems

    on “Cerebras’ new monster AI chip adds 1.4T transistors”
  6. Submitted The Next Big Thing: Introducing IPU-POD128 and IPU-POD256 as a story · 47 points

    HN discussion
  7. Perhaps Gephi? It was used for those Graphcore neural network visualizations (millions of edges and nodes) and they look stunning. [1] https://gephi.org/features/ [2] https://www.graphcore.ai/posts/what-does-machine-learning-lo...

    Comment linking /posts/what-does-machine-learning-look-like

    on “Datashader: turns even the largest data into images, accurately”
  8. Submitted New Graphcore IPU Benchmarks as a story · 17 points

    HN discussion
  9. For those that are interested, I was able to attend a talk by the guy that started Graphcore. His experienced approach to customized chip design for ML/AI is a really great thing to tap into. Some of the themes were: maximize power usage as its a limiting compute factor, remove off-chip memory, and scale horizontally at the individual processor level rather than "sharing resources across cores". https://www.graphcor…

    Comment linking /

    on “5nm vs. 3nm”
  10. Submitted Inside an AI 'brain' - what does machine learning look like? as a story · 11 points

    HN discussion
  11. That hardware advance may be closer than expected: https://www.graphcore.ai

    Comment linking /

    on “Why I'm Lukewarm on Graph Neural Networks”
  12. Submitted First reveal of Dell-Graphcore IPU platform as a story · 4 points

    HN discussion
  13. One of the smartest projects I've ever seen was a tool that took the human-readable tables of the HEVC and AV1 specs, used them as input to https://en.wikipedia.org/wiki/OMeta parser-generator, and then output both HEVC parsers in a variety of languages and also auto-fuzzers for test coverage. Ended up at https://www.graphcore.ai/posts/graphcore-open-sources-argon-... Personally I've also written a parser-generator…

    Comment linking /posts/graphcore-open-sources-argon-streams-av1-video-decoder-verification-tool

    on “Why I write recursive descent parsers, despite their issues (2020)”
  14. Submitted Inside an AI 'brain' – What does machine learning look like? as a story · 4 points

    HN discussion
  15. I went to a talk from the CTO of Graphcore ( https://www.graphcore.ai/ ) on Monday. They are designing chips targeted at machine learning. As I understood it, their architecture comprises - lots of "tiles" - small processing cores with collocated memory (essentially DSPs) - very high bandwidth (90TB/s!) switching fabric to move data between tiles - "Bulk Synchronous Parallel" operation, meaning that the tiles do the…

    Comment linking /

    on “The Looming Battle Over AI Chips”
  16. Submitted The Good Computer as a story · 3 points

    HN discussion
  17. Here is some explanation: https://www.graphcore.ai/blog/graph-computing-for-machine-in...

    Comment linking /blog/graph-computing-for-machine-intelligence-with-poplar

    on “Inside an AI 'brain' – What does machine learning look like?”
  18. Submitted Performance at Scale: Graphcore’s Latest MLPerf Training Results as a story · 3 points

    HN discussion
  19. Lots of cool stuff in the hardware AI space https://sambanova.ai/ - Enterprise AI and dataflow-as-a-service for established moodels https://www.cerebras.net/ - AI accelerator, trying to compete with NVidia https://www.graphcore.ai/ - Another AI accelerator company - UK based https://femtosense.ai/ - Sparse NNs on very low power chips - cool hardware and software challenges https://sima.ai/ - ML accelerators for embe…

    Comment linking /

    on “Ask HN: Chip startups?”
  20. Submitted Graphcore Sets New AI Performance Standards with Mk2 IPU Systems as a story · 3 points

    HN discussion
  21. Thank you for a blog, very much enjoyed reading it! By any chance do you know how Graphcore generates beautiful graph plots ? (seems like this are graph plots) link: https://www.graphcore.ai/hs-fs/hubfs/Graphcore%20open%20sour...

    Comment linking /hs-fs/hubfs/Graphcore%20open%20sources%20poplar%20graph%20libraries.png?width=2400&name=Graphcore%20open%20sources%20poplar%20graph%20libraries.png

    on “Learning Graph Structure with a Finite-State Automaton Layer”
  22. Submitted Introducing 2nd Generation IPU Systems for AI at Scale as a story · 3 points

    HN discussion
  23. Im sceptical that a good single CPU search can compete with massive parallel HW, like this one: https://www.graphcore.ai/posts/introducing-second-generation...

    Comment linking /posts/introducing-second-generation-ipu-systems-for-ai-at-scale

    on “The chemfp project: problems selling free software”
  24. Submitted Visualization of AI 'brain' – What does machine learning look like? as a story · 3 points

    HN discussion
  25. You can download their SDK without a login from their website here: https://www.graphcore.ai/downloads

    Comment linking /downloads

    on “DigitalOcean acquires Paperspace (YC W15) for $111M in cash”
  26. Submitted SoftBank Buys Graphcore as a story · 2 points

    HN discussion
  27. What does IPU stand for in this context? The only use I know of is Image Processing Unit — silicon that is custom developed for cameras. https://en.wikipedia.org/wiki/Image_processor This is clearly not that. Edit: Intelligence Processing Unit. https://www.graphcore.ai/products/ I assume that the Bionic neural engine in Apple's A11 and later is an example of this?

    Comment linking /products/

    on “New Graphcore IPU Benchmarks”
  28. Submitted Graphcore 10 Exaflop “Good” computer as a story · 2 points

    HN discussion
  29. Official Graphcore release: https://www.graphcore.ai/posts/graphcore-joins-softbank-grou...

    Comment linking /posts/graphcore-joins-softbank-group-to-build-next-generation-of-ai-compute

    on “Pioneering British AI chip designer Graphcore bought by Japanese firm SoftBank”
  30. Submitted World’s first 3D Wafer-on-Wafer processor – the Bow IPU as a story · 2 points

    HN discussion

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