negativa-ai/negativa-ml
A tool analyzing unused GPU code by machine learning workloads
This tool helps machine learning engineers and system optimizers identify wasteful code within their GPU-accelerated machine learning applications. It takes your existing ML workload and identifies shared libraries and specific GPU code segments that are loaded but never actually used during execution. This helps pinpoint areas where resources might be unnecessarily consumed.
No commits in the last 6 months.
Use this if you are a machine learning engineer or system developer looking to optimize the performance and efficiency of your GPU-based ML workloads by removing unused code.
Not ideal if you are not working with GPU-accelerated machine learning systems or if you need to compact the identified unused code segments, as that feature is not yet released.
Stars
15
Forks
3
Language
Rust
License
Apache-2.0
Category
Last pushed
Oct 06, 2025
Commits (30d)
0
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