Multi-GPU
Running 70B Models Locally — Exact VRAM by Quantization
Llama 3.3 70B needs 43GB at Q4, 75GB at Q8, 141GB at FP16. Here's every quant level, which GPUs fit, real speeds, and when 32B is the smarter choice.
Multi-GPU Setups for Local AI: Worth It?
Dual RTX 3090s cost $1,600+ and need a 1,200W PSU — but a single 3090 at $800 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.