Kernel Sparks — system-level notes on local AI, written from the bench. I run two ASUS Ascent GX10s (NVIDIA GB10 Grace Blackwell) 24/7: real benchmarks, llama.cpp tuning, 200 GbE clustering, and the operational lessons in between. For AI/ML engineers; every number here was measured on the actual machines.
Why the ASUS GX10 Is the Best GB10 Machine You Can Buy
I own two ASUS Ascent GX10s. Before buying the first one — and again before buying the second — I went through every GB10 machine on the market. This post is the comparison I wish had existed: not a spec-sheet rehash (the spec sheets are nearly identical by design), but a look at where the boxes actually differ, with numbers from months of running one 24/7. The GB10 landscape: one superchip, eight chassis When NVIDIA launched the GB10 Grace Blackwell superchip, it didn’t just build its own DGX Spark — it handed the same platform to OEMs. Today you can buy essentially the same computer from eight vendors: NVIDIA (DGX Spark Founders Edition), ASUS (Ascent GX10), Dell (Pro Max with GB10), HP (ZGX Nano G1n), Lenovo (ThinkStation PGX), MSI (EdgeXpert MS-C931), Gigabyte (AI TOP Atom), and Acer (Veriton GN100). ...