This seems to be missing the obligatory pelican on a bicycle.
Nvidia DGX Spark: great hardware, early days for the ecosystem
11–20 of 116 posts
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#12I wonder how this compares financially with renting something on the cloud.
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#13> even in a Docker container I should be allowed to do stupid things when I want. Give me an override!
A couple of people have since tipped me off that this works around that:
IS_SANDBOX=0 claude --dangerously-skip-permissions
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#14The reported 119GB vs. 128GB according to spec is because 128GB (1e9 bytes) equals 119GiB (2^30 bytes).
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#15The reported 119GB vs. 128GB according to spec is because 128GB (1e9 bytes) equals 119GiB (2^30 bytes).
Ugh, that one gets me every time!
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#16This seems to be missing the obligatory pelican on a bicycle.
Here's one I made with it - I didn't include it in the blog post because I had so many experiments running that I lost track of which model I'd used to create it! https://tools.simonwillison.net/svg-render#%3Csvg%20width%3D...
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#17The reported 119GB vs. 128GB according to spec is because 128GB (1e9 bytes) equals 119GiB (2^30 bytes).
That can't be right because RAM has always been reported in binary units. Only storage and networking use lame decimal units.
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#18Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#19I'm hopeful this makes Nvidia take aarch64 seriously for Jetson development. For the past several years Mac-based developers have had to run the flashing tools in unsupported ways, in virtual machines with strange QEMU options.
Re: Nvidia DGX Spark: great hardware, early days for the ecosystem
#20As is usual for NVidia: great hardware, an effing nightmare figuring out how to setup the pile of crap they call software.
Try to use Intel or AMD stuff instead.