kartik-sddb

4 ms·

1. 1.▲
   by kartik-sddb 3y ago

   Thanks for commenting :), Sure you can have a mesh of database, Have your input data in one data technology, run models on a distributed compute, save models on different database tech and manage the jobs on other!
2. 2.▲
   by kartik-sddb 3y ago

   Thanks for commenting :) Absolutely you can query the embeddings of 1.6M rows, you can try with lance or in memory vector search type. The scalablity will depends on embedding size, machine configurations, etc. Thanks
3. 3.▲
   by kartik-sddb 3y ago

   That's amazing!, Please try out the Jupyter demos :)
4. 4.▲
   by kartik-sddb 3y ago

   Gen AI is in the mainstream hardly like 6-7 years now, there is much more to see!
5. 5.▲
   by kartik-sddb 3y ago

   I second amazon prime cards, they have discounts on variety of products
6. 6.▲
   by kartik-sddb 3y ago

   Great! So the "scalable" AI deployment in SuperDuperDB is offered via something called as `Listeners` in conjunction with k8s native support by SuperDuperDB Lots of cool feature are in pipeline, Please join a free official webinar
7. 7.▲
   Show HN: SuperDuperDB - Unleash the Power of AI in Your Database(github.com)

   3 points by kartik-sddb 3y ago|3 comments