Nvidia DGX Spark: great hardware, early days for the ecosystem

Post by simonw » Wed, Oct 15, 2025, 5:56 AM UTC

wmf wrote: post #17

fisian wrote: post #14

The 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.

  ● Bash(free -h)
    ⎿                 total        used        free      shared  buff/cache   available
       Mem:           119Gi       7.5Gi       100Gi        17Mi        12Gi       112Gi
       Swap:             0B          0B          0B

Post by reenorap » Wed, Oct 15, 2025, 6:04 AM UTC

Post by simonw » Wed, Oct 15, 2025, 6:10 AM UTC

reenorap wrote: post #23

Is 128 GB of unified memory enough? I've found that the smaller models are great as a toy but useless for anything realistic. Will 128 GB hold any model that you can do actual work with or query for answers that returns useful information?

Post by cylemons » Wed, Oct 15, 2025, 6:21 AM UTC

p_l wrote: post #4

ur-whale wrote: post #3

As is usual for NVidia: great hardware, an effing nightmare figuring out how to setup the pile of crap they call software.

And yet CUDA has looked way better than ATi/AMD offerings in the same area despite ATi/AMD technically being first to deliver GPGPU (major difference is that CUDA arrived year later but supported everything from G80 up, and nicely evolved, while AMD managed to have multiple platforms with patchy support and total rewrites in between)

Post by rubatuga » Wed, Oct 15, 2025, 6:44 AM UTC

monster_truck wrote: post #24

Whole thing feels like a paper launch being held up by people looking for blog traffic missing the point. I'd be pissed if I paid this much for hardware and the performance was this lacklustre while also being kneecapped for training