• AutoTL;DRB
    link
    fedilink
    English
    arrow-up
    1
    ·
    2 years ago

    This is the best summary I could come up with:


    Using it, developers can fine-tune and test models from popular repositories like Hugging Face and GitHub using proprietary data, and access cloud computing resources when the need to scale arises.

    A separate estimate from Gartner suggests that close to 85% of big data projects fail, due in part to infrastructural roadblocks.

    “Enterprises around the world are racing to find the right infrastructure and build generative AI models and applications,” Das said in a canned statement.

    “Nvidia AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.”

    Startups like Fixie, Reka and Together aim to make it easier for companies and individual developers to customize models to their needs without having to shell out for costly cloud compute.

    In May, the company’s market cap briefly reached $1 trillion after Nvidia reported $7.19 billion in revenue, up 19% from the previous fiscal quarter.


    I’m a bot and I’m open source!