AMD Strix Halo vs Nvidia DGX Spark: Which AI workstation comes out on top?

Hands On Most GenAI models are trained and run in massive datacenter clusters, but the ability to build, test, and prototype AI systems locally is no less relevant today.

Until recently, this required high-end, multi-GPU workstations often costing tens of thousands of dollars. With the launch of the GB10-based DGX Spark in October, Nvidia set out to change this. While nowhere near as powerful, with 128 GB of video memory, the system is essentially an AI lab in a box capable of running just about any AI workload you throw at it.

As we mentioned in our initial hands-on, the Spark isn't the first or even the cheapest option out there. AMD and Apple also offer systems with large quantities of unified memory which are shared between the CPU and GPU, something that has made them incredibly popular among AI developers and enthusiasts.

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