Hackernews posts about bfloat16

1. Launch HN: Deepsilicon (YC S24) – Software and hardware for ternary transformers
   189 points by areddyyt 10 days ago | 79 comments
2. llm.c: multi-GPU, bfloat16, flash attention, ~7% faster than PyTorch (twitter.com)
   121 points by tosh 5 months ago | 10 comments
3. Bfloat16 support coming to Apple's Metal and PyTorch [video] (developer.apple.com)
   93 points by dlewis1788 about 1 year ago | 53 comments
4. Supporting BFLOAT16 in Fortran: "Not Recommended"? (fortran-lang.discourse.group)
   7 points by ggraphilia 6 months ago | 2 comments
5. BFloat16: The secret to high performance on Cloud TPUs (cloud.google.com)
   3 points by mfiguiere 8 months ago | 1 comments
6. Brain Floating Point (Bfloat16) (en.wikipedia.org)
   3 points by ml_basics over 1 year ago | 1 comments
7. RISC-V Support for BFloat16 (fprox.substack.com)
   3 points by camel-cdr about 1 year ago | discuss
8. llama.cpp bfloat16 support (github.com)
   2 points by indigodaddy 5 months ago | discuss
9. Supporting BFLOAT16 in ISO_Fortran_env: not recommended (j3-fortran.org)
   1 points by zaikunzhang 6 months ago | 7 comments
10. Converging Harmonic Series with bfloat16 (github.com)
    1 points by octocop 11 months ago | 1 comments
11. Show HN: Dive into Transformers and LLM World – Llama 3.1 in Go, Step by Step (github.com)
    4 points by adalkiran about 1 month ago | 2 comments
12. Show HN: LLaMA Nuts and Bolts, A holistic way of understanding how LLMs run (github.com)
    3 points by adalkiran 6 months ago | discuss
13. Show HN: Retrieval Augmented Generation Optimised LLM's (huggingface.co)
    2 points by alextttty about 1 year ago | discuss
14. Ask HN: Clarify VRAM usage during LLM forward pass
    1 points by furiousteabag 9 months ago | discuss