As AI infrastructure fragments into specialized tiers, CPUs are becoming the orchestration layer for agentic workloads.
Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
Runnable programs that exercise the public gopus API. These examples target the supported default build. QEXT examples require -tags gopus_qext; DRED examples require -tags gopus_dred; OSCE BWE ...
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