Bottlenecks that once hid behind peak FLOP charts had begun showing up in the places that matter most—latency-bound inference paths, goodput on sprawling training jobs, and the hard ceilings of data center power—which set the stage for a deliberate split in silicon designed to tame the opposing
Marketers chasing attention in crowded video feeds have long gambled budgets on gut feel and post-campaign learning curves that arrive too late to rescue underperforming ads, and that lag has become a strategic liability as video spend concentrates on platforms where seconds define outcomes. A new
Scarce, high-performance GPUs have defined the pace of AI progress, and firms without access have watched prototypes stall while competitors raced ahead on better hardware and deeper pockets. South Korea answered that gap with a national allocation that redirected state-purchased accelerators to
Power decisions that once required night-long simulations now had to be made between scheduler heartbeats as AI clusters pushed against power limits and procurement cycles, turning energy from a back-office metric into a gating factor for throughput. As data centers edged toward consuming a
Boardrooms juggling cloud commitments, AI roadmaps, and compliance checklists just saw the ground shift as Microsoft and OpenAI replaced a once-exclusive alliance with a time-bounded, non-exclusive pact that lets OpenAI run natively on rival clouds while Microsoft keeps licensed access through
Signals moved through social feeds faster than media plans could catch them, and budget owners increasingly demanded creator programs that turned cultural spark into accountable sales within days, not quarters. Against this backdrop, RAD Amplify, the audience intelligence and creator marketing arm
