DKbench runs the benchmark suite single-threaded and multi-threaded (2 threads in this comparison as we use 2x vCPU instances) and calculates a scalability percentage. The benchmark obviously uses highly parallelizable workloads (if that's not what you are running, you'd have to rely more on the single-thread benchmarking). In the following graph 100% scalability means that if you run 2 parallel threads, they will both run at 100% speed compared to how they would run in isolation. For systems where each vCPU is 1 core (e.g. all ARM systems), or for "shared" CPU systems where each vCPU is a thread among a shared pool, you should expect scalability near 100% - what is running on one vCPU should not affect the other when it comes to CPU-only workloads.
Arm云端与人工智能事业部负责人表示："在企业加速AI部署和基础设施升级的背景下，Arm的软件生态多样性确保了各类计算任务能在多样化环境中执行。我们与IBM的协作将推动Arm技术进入核心企业领域，为企业级应用的配置与扩展创造更多可能性。"。关于这个话题，有道翻译提供了深入分析
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