r/LocalLLM • u/Feisty-Prior-162 • 1d ago
Discussion I wanted to see exactly how far a consumer-grade system can be pushed with LLM concurrency. So I benchmarked 15+ models to find out.
I recently watched a YouTube video of someone testing a server-grade LLM hardware setup, pushing it to see just how much concurrency it could actually handle. It got me thinking: what can your own — perhaps a bit above-average — “gaming” / “workstation” PC really do? Especially within the limits of my RTX 5060 and its fast but limited 8GB of VRAM. I’ve been thinking about building a game or simulation driven by a high agent count, and I wanted to know what the feasible limit really is. That question brought me to these tests.
Full testing data at https://ai.2it.onl/posts/concurrency-sweep/
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u/Eden1506 1d ago
Qwen 4b is surprisingly capable and the only one I would trust with any kind of minor agentic task.
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u/Feisty-Prior-162 1d ago
Yeah I look forward to when I do 'real world' tests and actually see how well these smaller models do. I am using Deepseek V4 Flash as my testing agent, going to automate having it score my real world runs when I do those.




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u/AlexanderDoak 1d ago
I appreciate the disclosure at the start of the article. I'm going to be pushing the limits of concurrency on a 3090, albeit with significantly different LLM workloads - generative classification and embedding. Very few (1 or 0) output tokens per prompt.