Watching prof Garry passionately explaining new hardware you instantly get infected by good mood and drive to explore new tech.

I just bought one because they had a flash sale for $109. That is way cheaper than a Raspberry Pi which you can only buy from scalpers.

As always great video… I’m not so lucky to get those SBCs.

What happened with Speedtest G? Why no videos 🥺

Hey Gary, it has been half a year since Snapdragon 8 gen 1 was launched but you haven't made any speed test G video about it. It would be interesting to see it compared to other SOCs.

Thanks GaryExplains for everything.One question! What has hapened with SpeedtestG? Everyone want's for months Iphone 13pro Max vs Samsung S22 Ultra,A15 vs SD 8 gen1.

hey @Gary any experience using the "aliis" ai in the jetson platforms?

The way M.2 SSD speeds have gone over the last few years, and the capacity of them, it seem to me the inclusion of the relatively slow EMMC storage is a wasted effort. I like the provision of Display Port. It's a shame about the lowish clock rate, and the RAM is a bit low, especially considering the competition.

Hi Gary, Please can you explain how to partition and format a disk using Gparted.

can i power this with a powerbank?

Can you install & run Windows on ARM on this device ???

nice

Hey Gary, can you make a video on why the latest mid-range processors such as 695 doesn't support 4k video recording? Curious to know it, as based on benchmarks these processors are much faster. Even budget phones 4 years back used to support 4k recording, which benchmark will be half of the latest phones.

can recomputer be used in production?

Cortex A57's? From 2012? What the hell is the point of that

Based

I cant really be first can I? I've never been first before. Also great video.

jetson nano is a waste of time and money, I tel you why: - os based on ubuntu 18 with python 3.6.9, today often is requied python of an higher version - opencv is not compiled for cuda (why?) and it cannot be last version because needs cuda 11 - all the jeston come with cuda 10 ... while modern ML architecture, if you want accelerate need cuda11 - tensorflow is a disaster, first is not cuda accelerated, then, if you are lucky, you can use 1.9.2 while often is required 2.5 an higher and when you recompile it you get aways an error on a library - if you enable the desktop it takes1.5GB of ram on a system that has only 4G it is a toy, but if you want to use for deepface, use it for mediapipe, most of the time it doesn't work. But the main point is that you can use it as SMB, but you buy it for having cuda acceleration, but the drivers are behind light-years....