Sagify describes its project as a way to work with large language models and machine learning more easily.
Open source
24 alternativesNebullvm
OptiMate is a collection of libraries for optimizing AI model performance; the repository is marked as a legacy project.
About Nebullvm
The repository, referred to on its page as OptiMate, is an open-source collection of libraries for optimizing AI models. It includes Speedster for inference on GPUs and CPUs, Nos for Kubernetes GPU clusters using dynamic partitioning and elastic quotas, and ChatLLaMA for fine-tuning optimization and RLHF alignment. The repository is in a legacy phase and is no longer actively maintained, with no additional updates or official support, though source code remains available in Git history.
Key features
- Speedster component for inference optimization on GPUs and CPUs
- Nos component for dynamic partitioning and elastic quotas in Kubernetes
- ChatLLaMA component for fine-tuning optimization and RLHF alignment
- Source code remains accessible through Git history
Best for: People reviewing historical open-source code for AI model optimization.
Good for
- Source code is still available in Git history
- Collection addresses inference, cluster use, and fine-tuning
Watch out for
- No longer actively maintained
- No additional updates or official support
Nebullvm at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Nebullvm FAQ
Is the repository still maintained?
No. It is in a legacy phase and is no longer actively maintained, with no additional updates or official support.
What libraries are included in the collection?
Speedster for inference on GPUs and CPUs, Nos for Kubernetes GPU clusters, and ChatLLaMA for fine-tuning and RLHF alignment.
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