The DGX Spark is also a niche, arbitrarily limited machine that will not displace serious datacenter workloads. It's targeted directly at the homelab LARPers and arguably a waste of money versus similarly priced GPU clusters. A 256gb Spark at LPDDRX5 transfer rates would be a genuine travesty.

You can try to weasel out any sort of edge justification you want - these are not industry-grade machines. They are slow, expensive, bandwidth-constrained SOCs that don't hold a candle to either datacenter GPUs or even decade-old gaming GPUs. It's worth criticizing when Apple does it, and also worth criticism when Nvidia does it. The only difference being that Nvidia has natural datacenter buy-in, while Apple can't even justify their own hardware in the face of TPU inference costs: https://9to5mac.com/2026/03/02/some-apple-ai-servers-are-rep...