Multi-GPU Ollama Setup: Running Bigger Local LLMs
How Ollama splits models across multiple GPUs automatically, the environment variables that control it, and real hardware combos for running GLM-5.2, DeepSeek V4 Flash, and other big local models.
Posts tagged with
#Local LLMFound 9 posts with this tag
Qwen3.8-27B Hardware Guide: VRAM and GPU Requirements
What it takes to run Qwen3.8-27B locally: the dense model that actually fits on one consumer GPU, memory needs per quantization, and how it compares to MoE giants like GLM-5.2.
AirLLM: Run a 70B LLM on a Single 4GB GPU (How It Works, and the Catch)
AirLLM lets a 4GB GPU run a 70B parameter model by streaming layers from disk instead of loading them into VRAM. Here's how it works, real model-to-VRAM numbers, and the speed tradeoff nobody mentions in the headline.
DeepSeek V4 Flash Hardware Guide: VRAM and GPU Requirements
What it takes to run DeepSeek V4 Flash locally: memory needs per quantization, realistic setups from a single 24GB GPU to multi-GPU rigs, and when cloud makes more sense.
Best Jarvis Labs Alternatives in 2026: Cloud GPU Platforms Compared
Looking for a Jarvis Labs alternative? Compare RunPod, Vast.ai, Lambda Labs, and Paperspace on price per H100 hour, notebook UX, team features, and GPU availability for deep learning in 2026.
GLM-5.2 Hardware Guide: VRAM and GPU Requirements
What it takes to run GLM-5.2 locally: memory needs per quantization, realistic setups from Mac Studio to multi-GPU rigs, and when cloud makes more sense.
LLM Quantization Explained: GGUF vs GPTQ vs AWQ (2026 Guide)
GGUF vs GPTQ vs AWQ quantization for local LLMs explained. Which format to use with Ollama, llama.cpp, and vLLM, and how much quality you lose.
How Much RAM for Local LLMs? The Complete 2026 Guide
Exact RAM requirements for running LLMs locally with Ollama, llama.cpp, and LM Studio. Covers 7B to 70B+ models, CPU offloading, context windows, and DDR5 vs DDR4.
Best GPU for Llama 4 Locally: Scout & Maverick Guide
Hardware requirements for running Llama 4 Scout (109B) and Maverick (400B) locally. VRAM needs, quantization, and GPU picks for every budget.
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#AI Hardware(20)#CPU(3)#Deep Learning(12)#GPU(20)#Local LLM(9)#PyTorch(4)#Storage(2)#Troubleshooting(1)#VRAM(13)#Workstation(9)