Today I had the pleasure of interviewing Shruti Koparkar from @NVIDIA, who focuses on accelerated computing and AI inference.

We talked about CUDA and CUDA-X, the economics of AI infrastructure, and how long GPUs can remain useful and profitable as models and workloads change.

When does it make sense to keep using an older GPU system? When should you repurpose it or replace it? And what role does software play in that decision?

It was a real pleasure discussing these questions with Shruti. Thank you for your time and the conversation!

We’ll be uploading the full interview soon. I’m really looking forward to sharing it with you, but wanted to share a first update today. 🙂