nebuly-ai/optimate

Health v2 · maintenance only

Adoption not part of the score

8329 stars · 616 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OptiMate is a collection of Python libraries from Nebuly AI for optimizing AI model performance, including Speedster for inference acceleration, Nos for Kubernetes GPU utilization, and ChatLLaMA for fine-tuning and RLHF alignment. The repository is now in a legacy phase and is no longer actively maintained.

Use cases

• reduce inference costs for deep learning models on gpus and cpus
• speed up model inference latency
• fine-tune llms with rlhf alignment
• maximize gpu utilization on kubernetes clusters
• optimize ai models for specific hardware

When to choose

• you need proven model optimization techniques and are comfortable maintaining the code yourself
• you want to study or fork inference acceleration or RLHF fine-tuning implementations

When to avoid

• you need actively maintained tooling with official support
• you want production-ready optimization libraries with updates for new hardware and model architectures

Facets

library · maturity abandoned

machine-learning llm-inference llm-training benchmarking machine-learning deep-learning large-language-models developer-tools python model-optimization inference-optimization fine-tuning rlhf gpu-cost-reduction legacy gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="nebuly-ai/optimate")