Hello, community!
I’d like to share a recommendation for a piece of content covering one of the most important topics for those working with AI: how GPUs, LLMs, and resource scalability connect to enable modern applications.
A new episode of the Oracle Innovators Podcast is now available:
In this episode, we discuss how the use of GPUs and the scalability of computing resources help support artificial intelligence workloads, models, and applications.
It is an especially relevant episode for those working with:
- AI infrastructure;
- LLMs and generative AI;
- performance and computing capacity;
- environment scalability;
- evolving projects from prototype to production.
The content offers a practical perspective on infrastructure, computing capacity, and the challenges involved in taking AI projects beyond the prototype stage.
It’s a conversation about what lies behind the AI applications we use every day and what it takes to achieve that highly sought-after scale.
Watch it here:
https://youtu.be/Vypne-iLDqY?is=JVMxoK2jBXXPHIgZ
Afterward, share with us here in the community: what infrastructure and scaling challenges are you encountering in your AI projects?