One card has 96GB of VRAM AND 1792 GB/s of bandwidth. It beats every box in this comparison on both numbers at once.
It also costs $10,000-12,000 — more than the DGX Spark, the Strix Halo, and the Mac combined, with room left over.
Now here's the part that breaks people: the $4,500 DGX Spark runs at 273 GB/s. Six times less bandwidth than this card. Same number as a Mac mini. Less than a 5090 that costs half as much.
And it still reads your context 6x faster than either of them.
Because bandwidth isn't what makes that happen. Bandwidth is how fast tokens come out. Reading your prompt in the first place is raw compute — a number that never makes it onto a spec sheet, a box, or a comparison chart.
So the DGX sits near the bottom of every bandwidth list published this year and quietly beats the machines above it at the thing most local AI work is actually waiting on.
That's why the spec sheet is the worst way to buy this hardware. Capacity tells you what loads. Bandwidth tells you how fast it writes. Neither tells you how long you'll stare at a blank screen before the first word shows up.
The 6000 Blackwell wins the chart. It also prices itself like a used car.
Full 3-way benchmark — DGX Spark vs AMD Strix Halo vs Mac, what each one actually wins — pinned 👇
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