Key takeaway
AI hardware is spreading from large data centers to PCs, edge devices and robotics. AMD announced major UK AI infrastructure investment. NVIDIA and SK hynix are working on memory for AI factories. Microsoft and NVIDIA are pushing RTX Spark for local agent workloads. Intel is positioning Core Ultra Series 3 for AI PCs, edge and robotics.
Why it matters
SMEs need to decide where AI should run: cloud, local workstation, internal server, edge device or mobile. The right choice depends on cost, latency, privacy, maintenance and workload volume.
Recommended action
Before buying hardware, define the use case, data sensitivity, volume, latency target and maintenance capacity. Start in the cloud unless local or edge compute has a clear business reason.