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.
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.