<story><title>Long Live the &apos;GPU Poor&apos; – Open-Source AI Grants</title><url>https://a16z.com/2023/08/30/supporting-the-open-source-ai-community/</url></story><parent_chain><item><author>jph00</author><text>I&amp;#x27;m one of the recipients of the AI grants, to support my work at fast.ai. I&amp;#x27;m extremely grateful to a16z for their support. Here&amp;#x27;s some additional details based on questions I see in the comments:&lt;p&gt;My grant covered the purchase of a Scalar server from Lambda Labs, which allowed me to configure a system with 8 previous-gen A6000 GPUs, partly also thanks to NVIDIA who has recently given me 3 of those cards, and Lambda Labs who offered to provide everything at cost.&lt;p&gt;a16z didn&amp;#x27;t ask for any equity or any kind of quid pro quo, other than to let folks know that they provided this grant. They couldn&amp;#x27;t have been more helpful through the process - I didn&amp;#x27;t have to fill out any forms (other than sign a single one page agreement), the contract was clear and totally fair (even explicitly saying that a16z wasn&amp;#x27;t going to receive any kind of rights to anything), and they wired me the money for buying the server promptly.</text></item></parent_chain><comment><author>Reviving1514</author><text>Hi Jeremy,&lt;p&gt;I&amp;#x27;m sure you get this a lot, but thank you for teaching me ML - I am a hardware engineer&amp;#x2F;manufacturing person who learned to code in the early 2010s and it&amp;#x27;s been immensely helpful in my career. Learning ML feels like V2 of that - picking up a new skill that is going to end up being useful in so many places. You made that journey much easier and more accessible and I very much appreciate it.&lt;p&gt;(No need to respond at all - just wanted to pass along the gratitude!)</text></comment>
<story><title>Long Live the &apos;GPU Poor&apos; – Open-Source AI Grants</title><url>https://a16z.com/2023/08/30/supporting-the-open-source-ai-community/</url></story><parent_chain><item><author>jph00</author><text>I&amp;#x27;m one of the recipients of the AI grants, to support my work at fast.ai. I&amp;#x27;m extremely grateful to a16z for their support. Here&amp;#x27;s some additional details based on questions I see in the comments:&lt;p&gt;My grant covered the purchase of a Scalar server from Lambda Labs, which allowed me to configure a system with 8 previous-gen A6000 GPUs, partly also thanks to NVIDIA who has recently given me 3 of those cards, and Lambda Labs who offered to provide everything at cost.&lt;p&gt;a16z didn&amp;#x27;t ask for any equity or any kind of quid pro quo, other than to let folks know that they provided this grant. They couldn&amp;#x27;t have been more helpful through the process - I didn&amp;#x27;t have to fill out any forms (other than sign a single one page agreement), the contract was clear and totally fair (even explicitly saying that a16z wasn&amp;#x27;t going to receive any kind of rights to anything), and they wired me the money for buying the server promptly.</text></item></parent_chain><comment><author>0xcde4c3db</author><text>&amp;gt; previous-gen A6000 GPUs&lt;p&gt;Just in case anyone hasn&amp;#x27;t surveyed the landscape lately, the distinction being made here is between &amp;quot;RTX A6000&amp;quot; (Ampere architecture; GeForce 30-series equivalent) and &amp;quot;RTX 6000 Ada Generation&amp;quot; (Ada architecture; GeForce 40-series equivalent) products.  Nvidia is apparently convinced that it can get away with being almost as terrible at naming technology generations as the USB Implementers Forum.</text></comment>