Generative models, prompting, agents and AI tool capabilities.
A 125B Local Model on a 16GB GPU: Fast, But Is It Smart?
19d ago · en-US audio
Can a 125-billion-parameter model run on a regular 16GB GPU and still do useful work? I ran Qwen3.8-Flash-Next with Strata on an RTX 4060 Ti, measured generation speed, and gave it three coding tasks of increasing difficulty using Pi as the agent. 🖥️ Setup CPU: AMD Ryzen 7 (https://link.amazon/B07UXubRX) GPU: RTX 4060 Ti 16GB (https://link.amazon/B0c6ku9nm)…
Zero to MVP
AI that actually works — tested on real tasks, with real numbers. I'm Nick Blokhin, a software architect with 20+ years of shipping production systems. I test AI models and tools the way you'd actually use them — on real hardware, on real work — and tell you what's worth your time and money, and where it breaks. A lot of that is AI you run yourself: local models on laptops, mini PCs, gaming GPUs, even a Raspberry…
Outlier score
This score was measured on Sun, 25 Oct 2026 08:06:21 GMT. Current view counts may differ.
69.2K views ÷ a 22.9K baseline = 3.0×. Compared with 39 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 10:22:48 GMT. Counters may have changed.
Read the methodologyArtificial Intelligence & Data
Channel-balanced percentile: 100
Comparison details
21 videos from 17 other channels, with each channel weighted equally. Same format and language, with 10,000–99,999 subscribers. Observed at 471 hours after publication, within ±48 hours.
The comparison uses this broader topic because the specific niche has too few examples. This describes the collected sample, not all of YouTube. Updated Sun, 25 Oct 2026 10:36:23 GMT.
Niches & tags
Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools