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Every Way to Get 512GB of VRAM for Local AI (at Full Context)
7d ago · English audio
512GB of VRAM for local AI doesn't mean 512GB of context. I price every way to get 512GB (Mac Studio M5 Ultra, four NVIDIA DGX Sparks, four RTX PRO 6000s, an EPYC RAM build, 16 AMD MI50s, Strix Halo mini PCs) and work out which models actually run at full context. The number on the box is almost never the number that matters. The model decides. Every token a local LLM reads leaves notes in memory (the KV cache),…
Kai
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Outlier score
167K views ÷ a 45.2K baseline = 3.7×. 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.
Read the methodologyGenerative AI & Agents
Channel-balanced percentile: 100
Comparison details
30 videos from 21 other channels, with each channel weighted equally. Same format and language, with 10,000–99,999 subscribers. Observed at 189 hours after publication, within ±38 hours.
This describes the collected sample, not all of YouTube. Updated Sun, 25 Oct 2026 13:31:01 GMT.
Niches & tags
Generative models, prompting, agents and AI tool capabilities.
Transcripts and detailed analytics are available for recent outlier Shorts up to three minutes. Research tools