AI & ML · Oct 9
RTX Spark laptops tout 120B local models, one million context, and 284B GPT 5 beating claims
The interesting part is not the flex. It is whether memory, watts, and storage can make frontier scale inference feel usable on a notebook.
- Judge laptop AI claims by memory layout, quantization, latency, and power, not parameter count alone.
- Benchmark local models on your real workload before replacing cloud APIs.
- Watch software stacks closely, because storage, RAM, VRAM, and schedulers may matter as much as the chip.