Local Boxes / directory

Buy the box.
Keep the weights.

A slow directory of computers that run real models on your desk. We list what it is, who it is for, what it actually runs, and the catch.

Listings: 4 Hubs: 1 Comparisons: 1 Next ship: Strix Halo mini
Hub Jetson and boxes under $500 The only listing that belongs here today is the Orin Nano Super. Compare DGX Spark vs ASUS GX10 Same GB10 class. Two invoices. Shop them as one product.

Jetson Orin Nano Super

For students, robots, and anyone who needs CUDA at the edge for $249.

Street
$249 kit
Memory
8GB LPDDR5
Runs
1B–8B class
Catch
8GB is the ceiling

The cheap door into JetPack and physical AI. Not a 70B desk box.

NVIDIA DGX Spark

For CUDA people who want 128GB of unified memory in a paperback-sized brick.

Street
~$4,699
Memory
128GB LPDDR5X
Runs
20B–120B MoE locally
Catch
Bandwidth is the limiter

Buy this if you already live in CUDA and need capacity, not the fastest tokens per dollar.

Framework Desktop

For people who want a repairable Strix Halo box they can live with for five years.

Street
$1,269–$3,449
Memory
up to 128GB unified
Runs
24B–70B class
Catch
You assemble it

The grown-up midrange pick. Not CUDA-native.

ASUS Ascent GX10

For buyers who want the DGX Spark recipe without the Founders Edition.

Street
~$3,100–$4,150
Memory
128GB unified
Runs
GB10 / CUDA stack
Catch
Partner firmware lottery

Same class as Spark, often cheaper. Read the SKU.