llm-d/llm-d-benchmark

Achieve state of the art inference performance with modern accelerators on Kubernetes

Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs

✈️ Kubernetes-native platform for deploying and managing AI inference across multiple providers

☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!

Scale LLM Engine public repository

llm-d Router: The intelligent entry point for inference requests

ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuously optimized.

Benchmark and optimize LLM inference across frameworks with ease

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.