Frontier AI vs. local AI: where should the work run?
NVIDIA DGX Spark and AMD Threadripper Halo Station make local AI an increasingly serious option. The decision comes down to task quality, data control, response time, and cost per accepted result.
INSIGHTS / FIELD NOTES
Field notes on .NET architecture, modernization, government software, applied AI, blockchain, and reliable delivery.
NVIDIA DGX Spark and AMD Threadripper Halo Station make local AI an increasingly serious option. The decision comes down to task quality, data control, response time, and cost per accepted result.
Public-facing sites often need less client runtime than teams assume. Static SSR can deliver speed, resilience, search visibility, and rich interaction where it counts.
The model is only one participant. Permissions, retrieval, evaluation, human review, and failure handling define whether an AI feature is trustworthy.
The mature modernization question is not “rewrite or don’t.” It is how to reduce risk while increasing the system’s capacity to change.