[Apache TVM Discuss] [Development] I want advice on Best Practices for Working With TVM in Real Projects

[Amelia via Apache TVM Discuss <no...@discuss.tvm.ai>]

Hi everyone,

I have been spending some time learning & experimenting with TVM & while I find the framework  powerful; I am figuring out the best ways to apply it effectively in real-world scenarios.  I have seen TVM offers great performance optimization for deep learning models but sometimes I get stuck when moving from tutorials to practical use cases.

I want to know how others approach integrating TVM into existing workflows. Do you start with small-scale models and then scale up or directly attempt production-level deployments? Also, how do you manage performance trade-offs, debugging & compatibility issues when working across different hardware backends?

I have been reading guides here & there but hearing personal experiences always helps more. By the way; while browsing study resources I also came across [CISSP Training](https://www.igmguru.com/cyber-security/cissp-certification-training) & it got me thinking about how much security & optimization knowledge overlaps across different fields.


Thank you.:)





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