Best of GPU — May 2024

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    Video
    Avatar of fireshipFireship·2y

    Mind-bending new programming language for GPUs just dropped...

    A new programming language called Bend promises parallelism and allows code to be run in parallel on both CPU and GPU cores. It eliminates the need to know low-level concepts and offers significant performance improvements.

  2. 2
    Article
    Avatar of hnHacker News·2y

    Reproducing GPT-2 (124M) in llm.c in 90 minutes for $20 · karpathy/llm.c · Discussion #481

    Reproducing GPT-2 (124M) in llm.c allows training the model with a single GPU, although it may take longer.

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    Article
    Avatar of communityCommunity Picks·2y

    Nvidia: An Overnight Success Story 30 Years in the Making

    Nvidia, a technology company founded in 1993, experienced crucible moments throughout its history. The company originally focused on creating 3D graphics cards for gamers but eventually shifted towards AI computing. This pivot proved to be a game-changer for Nvidia and positioned the company as a global leader in AI computing. One of the most significant crucible moments was the decision to abandon their initial chip architecture and start from scratch to align with industry trends. Nvidia's commitment to AI computing has propelled the company's growth and positioned them at the forefront of technological advancements.

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    Article
    Avatar of omgubomg! ubuntu!·2y

    Ubuntu 24.10 to Enable Wayland for NVIDIA Users

    Ubuntu 24.10 will enable Wayland as the default display server for NVIDIA users, with improved support from NVIDIA's proprietary graphics drivers. There are still some known issues, but the switch is a step forward in testing and improving the compatibility between Wayland and NVIDIA.

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    Article
    Avatar of dailydoseofdsDaily Dose of Data Science | Avi Chawla | Substack·2y

    Accelerate Pandas with GPU Using RAPIDS cuDF

    Learn how to accelerate Pandas operations using NVIDIA's RAPIDS cuDF library. The library allows for GPU acceleration without any code changes, providing significant speedups. Discover other ways to accelerate Pandas operations and the speedup range observed with RAPIDS cuDF library.

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