☆339Aug 10, 2026Updated last week
Alternatives and similar repositories for runai-model-streamer
Users that are interested in runai-model-streamer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Translation layer that maps any Kubernetes framework's Custom Resource Definitions (CRDs) into a standardized, generic structure.☆60Updated this week
- Model Express is a Rust-based component meant to be placed next to existing model inference systems to speed up their startup times and i…☆125Updated this week
- Kubernetes enhancements for Network Topology Aware Gang Scheduling & Autoscaling☆251Updated this week
- KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale☆1,453Updated this week
- GPU environment and cluster management with LLM support☆660May 16, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- GPU Environment Management for JupyterLab☆26Feb 19, 2024Updated 2 years ago
- High-performance safetensors model loader☆163Updated this week
- Python client for the Run:ai REST API☆26Dec 15, 2025Updated 8 months ago
- ☆16Jul 20, 2026Updated 3 weeks ago
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆789Updated this week
- Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, T…☆494Updated this week
- ☆306Aug 3, 2026Updated 2 weeks ago
- Gateway API Inference Extension☆741Updated this week
- A top-like tool for monitoring GPUs in a cluster☆85Feb 14, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Module, Model, and Tensor Serialization/Deserialization