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Technology & Computing / VIDEO

Is 16GB All You Need for Serious Local LLM?

Kai· 58.4K subscribers

17d ago · English audio

16GB of VRAM now runs Qwen 3.8 27B at 45 tokens a second on an RTX 5060 Ti, and the model fitting is only half the story. The viral "16GB is enough" demo was real: ISTA-DASLab's GSQ-RCO build of Qwen 3.8 27B is 11.8 GB and ties the full model on AIME, coding and GPQA. But the same video gave the 16GB card 64,000 tokens of context while the RTX 5090 next to it got 262,000. On a 16GB card, the KV cache (the…

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12.0×Above the channel median
421.3KViews
407.3Avg. views / hour · 1.1h window
35KMedian · 50 videos

Outlier score

421.3K views ÷ a 35K baseline = 12.0×. Compared with 50 earlier videos from the same channel, matching the format recorded at scoring time. Older-upload baseline: reference videos had at least as long to gain views. This comparison is not age-matched.

YouTube snapshot: Sun, 25 Oct 2026 12:33:31 GMT. Counters may have changed.

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Generative AI & Agents

Channel-balanced percentile: 100

Comparison details

35 videos from 24 other channels, with each channel weighted equally. Same format and language, with 10,000–99,999 subscribers. Observed at 429 hours after publication, within ±48 hours.

This describes the collected sample, not all of YouTube. Updated Sun, 25 Oct 2026 13:31:01 GMT.

Niches & tags

Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools

Breakouts from other channels