Try DeepLM.
Fork a project, spin up on your cluster, and see the difference. All projects are open source.
deeplm-insights
Real-time GPU observability and workload scoring. Monitor utilization, thermals, power, and scheduling bottlenecks across your fleet.
Python—
deeplm-scheduler
Intelligent workload scheduling engine for SLURM and Kubernetes GPU clusters. Drop-in replacement for default schedulers.
Go—
deeplm-benchmark
GPU utilization benchmarking toolkit. Baseline your fleet performance before and after optimization.
Python—
deeplm-cli
Command-line interface for DeepLM. Manage clusters, view dashboards, and trigger optimizations from your terminal.
Rust—
All repositories are hosted on GitHub under the DeepLM organization.