Multi-GPU
Running 70B Models Locally — Exact VRAM by Quantization
Llama 3.3 70B needs 43GB at Q4, 75GB at Q8, 141GB at FP16. Every quant level, which GPUs fit, real speeds, and when a 27B or MoE model is the smarter buy.
Multi-GPU Setups for Local AI: Worth It?
Dual RTX 3090s cost $1,700-2,000 and need a 1,200W PSU — but a single 3090 at ~$1,000 runs every model under 32B. When two GPUs actually beat one bigger card, and when they don't.
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.
Best Dual-GPU Local AI Setup: RTX 3090, 5060 Ti (2026)
Dual RTX 3090, 2x RTX 5060 Ti, 2x 2080 Ti modded, mixed setups: real configs for Qwen 3.6, MoE, 70B. Tensor vs pipeline parallelism, llama.cpp/vLLM.