On August 24, 2026, Moore Threads made public its white paper, introducing a groundbreaking "Prefill as a Service" model. This innovative approach leverages their premier AI training and inference-integrated smart computing card, the MTT S5000. The solution is tailored for long-context inference scenarios, including AI Agents, code generation, and in-depth analysis of extensive documents. By separating the prefill and decode processes, it allows each to operate on hardware resource pools suited to their specific computational demands. This strategy achieves a harmonious balance between inference efficiency, cost management, and maximizing the value of computational resources, all while minimizing the infrastructure cost per Token.