"However, the energy market does continue to remain volatile due to ongoing global geopolitical concerns."
В России ответили на имитирующие высадку на Украине учения НАТО18:04
。业内人士推荐新收录的资料作为进阶阅读
В Нигерии террористы расправились с прихожанами РПЦ01:28
We have an entire series dedicated to teaching business leaders how to use AI more effectively at work, from vibe coding to managing their email inbox with AI tools. None of those tips and tricks matter if your data, the data of your customers, and the data of your company are compromised because of an AI-related security issue.
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.