llm d is a various technologies project that demonstrates thoughtful software design. While exploring the codebase, I found patterns and implementations that could accelerate similar projects. Worth investigating if you're working with various technologies or interested in clean, maintainable code architecture.
llm d
Abstract
Achieve state of the art inference performance with modern accelerators on Kubernetes
Forked from llm-d/llm-d
What the analyser found
Deployment readiness
6/7
- Container image
- CI pipeline
- Lockfile committed
- Test suite
- README
- License
- No committed secrets
Composition
1,139 files
ExpressDockerKubernetesCUDA
Findings
- LowDependencies declared without a lockfile - non-reproducible builds
guides/workload-autoscaling/slo-aware/benchmark-templates/requirements.txt