The next competition in AI computing power is "token production.
# The next competition in AI computing power is “producing Tokens” Over the past two years, the AI computing power industry has experienced a clear shift in focus: from competing for GPU hardware resources to competing for efficiency in “producing Tokens”. When companies shifted from a competition based on whether they had GPUs to a competition based on whether GPUs could truly function effectively, the core role of GPUStack became evident. The company no longer simply manages GPU resources but provides a “one-stop solution” ranging from GPU management, model deployment, inference engine adaptation to Token services. Qin Xiaokang pointed out that the core value of GPUStack lies in solving two key problems: first, models not being compatible with GPUs leads to idle GPUs; second, models can run, but hardware performance cannot be fully utilized. A case from a financial client showed that after optimization by GPUStack, throughput increased 8 to 9 times, and inference latency decreased by 80% to 90%. For scenarios already having a good optimization foundation, the platform’s 20% to 30% increase in utilization rate is already quite good in the industry…