Alex Ziskind

The channel focuses on hands‑on technical guides and benchmarks for running and optimizing large language models and other AI workloads on consumer and enterprise hardware. Typical videos cover performance tuning and speed comparisons for local LLMs, cost‑effective hardware alternatives (e.g., DGX/ASUS, Macs), low‑VRAM and private‑cluster setups, and practical configuration/fix tips for running models like Claude or very large parameter models locally.

Channel stats

Calculated from videos published in the last 12 months

1 video every 10 days
Publishing pace
Regular
Publishing regularity
16 min
Average video duration
49 min
Published time per month

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Latest videos

My LLM Hoarding Got Out of Hand… So I Built This
June 4, 2026
RTX Spark Is Already Making People Mad
June 2, 2026
Everything looks fine at 4-bit
May 27, 2026
I Made My Mac Transcribe 140X Faster Than Real Time 🛡️ MEMBERS
May 26, 2026
MONSTER 1000W RTX 5090 for AI… vs Pro 6000
May 22, 2026
Three months wrong about why my 4-node AMD cluster was slow
May 15, 2026
I just gave Claude BEAST mode 🤯 ... Images and video!
May 10, 2026
This Local LLM Looked Smart Until I Saw What It Made Up
May 7, 2026
I Plugged a DGX Spark and Mac Together... and Didn’t Expect This
May 1, 2026
This MacBook Pro Makes Me Feel Stupid
April 23, 2026