VLLM
Razer AIKit Guide: Multi-GPU Local AI on Your Desktop
Open-source Docker stack bundling vLLM, Ray, LlamaFactory, and Grafana into 1 container. Auto-detects GPUs, supports 280K+ HuggingFace models, and handles multi-GPU parallelism.
Multi-GPU Local AI: Run Models Across Multiple GPUs
Dual RTX 3090s give you 48GB VRAM and run 70B models at 16-21 tok/s—vs 1 tok/s with CPU offloading. Tensor vs pipeline parallelism, setup guides, and real scaling numbers.
Fastest Local LLM Setup: Ollama vs vLLM vs llama.cpp Real Benchmarks
vLLM handles 4x the concurrent load of Ollama on identical hardware. But for single-user local use, Ollama is all you need. Benchmarks, memory usage, and a dead-simple decision framework. Updated for Ollama v0.17.7, vLLM v0.17.0, and llama.cpp with MCP support.