23:10
MLX Genmedia — Prince Canuma, Arcee
Prince Canuma, a core contributor to Apple's MLX framework and engineer at Arcee, delivers a conference demo showing how to deploy an...
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32:36
RTX 5090, Mac Studio, or DGX Spark? I tried all three.
Nate B Jones tests the RTX 5090, Apple Mac Studio, and NVIDIA DGX Spark as personal AI computing platforms, but the video is as much...
10:51
Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI
Adrien Grondin, developer of the Locally AI app, delivers a technical walkthrough of running Google's Gemma 4 model directly on iPhon...
15:26
Gemma, DeepMind’s Family of Open Models — Omar Sanseviero, Google DeepMind
Omar Sanseviero, a researcher at Google DeepMind, delivers the first public conference talk on Gemma 4 just one week after its releas...
39:04
My M5 Max, Gemma 4, MLX LOCAL Stack. (This KILLS MODEL PROVIDERS)
IndyDevDan runs a structured head-to-head benchmark between a fully specced Apple M5 Max MacBook Pro and its M4 Max predecessor, test...
11:09
CoPaw with Ollama + Telegram — Run Your Own AI Assistant Locally for Free
Alibaba's Tongyi Lab has open-sourced CoPaw, a fully self-hosted personal AI assistant modeled after Open Claude that runs entirely w...
09:10
NVIDIA’s 13 New Models
Sam Witteveen covers NVIDIA's CES 2026 keynote, where Jensen Huang announced 13 open-source models across autonomous vehicles, roboti...
33:14
Ethernet is DEAD?? Mac Studio is 100x FASTER!!
NetworkChuck benchmarks a four-node Apple Mac Studio M4 Ultra cluster—each machine configured with 512GB unified memory, 80 GPU cores...