“The demand for compute capacity to sustain business modernization and digital transformation initiatives continues to grow. NET applications, Java applications, and more. These workloads include web servers, application servers, open-source databases, cloud-native. Paul Nash, head of product, Azure Compute Platform, said the Arm instances can achieve up to 50% better price-performance than comparable x86-based virtual machines (VMs) for scale-out workloads, which is what Microsoft is targeting with the Arm instances.
Microsoft, on the other hand, is using the Altra processor from Ampere, the startup led by former Intel executive Renee James. AWS’s Arm processor is Graviton, a homemade chip developed by Amazon. One possible reason for delay on Microsoft’s part is that it used a different processor. It took a little while, but Microsoft Azure now offers a preview of Arm-based instances, something AWS has offered since last year. So I don’t imagine AWS is losing much sleep,” he said via email. “If Alibaba’s Arm-based services are a strong competitor to AWS technologically, should AWS be worried? Well, even in APAC region excluding China, AWS cloud revenues are several times as big as Alibaba’s. He says that Alibaba now has a substantial cloud presence in Hong Kong, Indonesia, Malaysia, India and Singapore, but still derives the vast majority of its revenues from China and Hong Kong. John Dinsdale, chief analyst & research director with Synergy Research Group, which follows the cloud market, says Alibaba has been more successful than other Chinese cloud providers at expanding its footprint and services beyond its home market of China. But most Chinese companies seek to expand beyond just the China market, and Alibaba is modeled after Amazon in many ways. The operative question is: What are Alibaba’s ambitions with Panjiu? If it’s content to stay within the Chinese market, then it is no threat to the existing dominant players like AWS. Alibaba also claims Panjiu is suitable for high-performance storage and a variety of cloud-native workloads, such as containerized applications. Panjiu was developed with a separation of computing and storage so the servers are optimized for general-purpose computing as well as AI computing.
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