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Ollama and ComfyUI GPU Sharing Strategies for Single RTX Users

By PulseAugur Editorial · [1 sources] ·

This article provides practical strategies for users to run both large language models (LLMs) via Ollama and image generation models like Stable Diffusion using ComfyUI on a single RTX GPU without encountering Out-of-Memory (OOM) errors. It details the approximate VRAM consumption for various LLMs (such as Qwen2.5 Coder 14B and Llama3.1 8B) and Stable Diffusion models (SDXL, SD 1.5 with ControlNet), offering guidance on what combinations are feasible on a 16GB RTX 5060 Ti. The author proposes two primary scheduling methods: time-based scheduling, which allocates specific time windows to each application, and priority-based access, where applications request GPU time based on predefined priority levels. AI

IMPACT Enables users to run multiple AI models concurrently on limited hardware, maximizing resource utilization.

RANK_REASON The article provides practical advice and technical strategies for optimizing the use of existing hardware for AI-related tasks, rather than announcing a new product or research breakthrough.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ollama and ComfyUI GPU Sharing Strategies for Single RTX Users

How we ranked this

Signal score
23 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The article provides practical advice and technical strategies for optimizing the use of existing hardware for AI-related tasks, rather than announcing a new product or research breakthrough.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ayraix ·

    Ollama GPU Scheduling: Running Inference and ComfyUI on One RTX Without OOM

    <p><em>Strategies for sharing a single RTX GPU between Ollama LLM inference and ComfyUI Stable Diffusion on the same homelab machine.</em></p> <h2> The VRAM Reality Check: What Actually Fits on a 16GB RTX 5060 Ti </h2> <p>Understanding your hardware limits is the first step to su…

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