AMD leaps after launching AI chip that could challenge Nvidia dominance

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • HIPIFY

    HIPIFY: Convert CUDA to Portable C++ Code

  • ROCm

    Discontinued ROCm Website [Moved to: https://github.com/ROCm/ROCm.github.io] (by ROCm)

  • Maybe so. But it isn't confidence inspiring when I go to see which cards are supported and I see this issue:

    https://github.com/ROCm/ROCm/issues/1714

    With Nvidia cards, I know that if I buy any Nvidia card made in the last 10 years, CUDA code will run on it. Period. (Yes, different language levels require newer hardware, but Nvidia docs are quite clear about which CUDA versions require which silicon.)

    The will-they-won't-they and the rapidly dropped support is hurting the otherwise excellent ROCm and HIP projects. There is a huge API surface to implement and it looks like they're making rapid gains.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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