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RTX 5090 VRAM pressure causes local LLM slowdown

By PulseAugur Editorial · [1 sources] ·

A user experienced a significant performance drop in their local large language model, with token generation speed decreasing from 77 to 7 tokens per second. This slowdown occurred during video calls, which appeared to consume the GPU's VRAM, pushing it to its limit. Despite the performance degradation, the vLLM serving process did not report any errors or out-of-memory conditions. The issue was resolved by restarting the vLLM process, suggesting a problem with the serving process's memory state rather than the model or prompt itself. AI

IMPACT Highlights potential VRAM limitations for local LLM deployments, impacting user experience and performance.

RANK_REASON User-level troubleshooting of hardware/software interaction for local LLM deployment.

Read on Towards AI →

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

RTX 5090 VRAM pressure causes local LLM slowdown

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34 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-level troubleshooting of hardware/software interaction for local LLM deployment.
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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.
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Cameron Jagoe ·

    My RTX 5090 Fell from 77 to 7 Tokens Per Second. VRAM Pressure Was the Culprit

    <h4>A local LLM on a daily-driver Windows desktop. Every video call cut its speed by up to 10x, and vLLM never reported an error. The decisive test, the VRAM math, and the configuration change that stopped it.</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/…

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