Google Announces Partnership with IBM: Introducing IBM Power Systems in Cloud Computing Center

Google has announced a partnership with IBM to launch IBM Power Systems on Google Cloud in the hope of persuading more companies to move to the cloud. As Google looks to attract more businesses to the company’s cloud computing platform, it needs to facilitate the traditional infrastructure and workloads they are currently using.

Google Announces Partnership with IBM: Introducing IBM Power Systems in Cloud Computing Center

Many of these workloads run on IBM Power Systems, which is power-enabled, and so far IBM is almost the only provider offering cloud Power systems. But Google is now in the field through a partnership with IBM.

“There are many options for businesses that want to modernize their existing infrastructure and streamline their business processes with the cloud. “On the other hand, some organizations are rebuilding entire legacy systems to adopt the cloud,” said Kevin Ichhpurani, vice president of global ecosystem enterprise at Google Cloud. However, many businesses want to continue to leverage their existing infrastructure while still benefiting from new advances in the cloud’s flexible usage models, agility, and artificial intelligence, machine learning, and analytics. “

This makes sense, given that many companies use Power Systems for mission-critical workloads based on SAP and Oracle. This allows enterprises to continue to run these workloads and move them slowly to the cloud without redesigning their applications and infrastructure. Power Systems on Google Cloud is clearly integrated with Google’s services and billing tools.

Since IBM has its own cloud products, it’s a bit odd to see it partner with Google to introduce its own Power Systems into the latter’s cloud services, although it is certainly expected to sell more Power servers. But the move does mean a lot to Google Cloud, whose mission is to bring more enterprise workloads to its platform. As businesses adapt to Google’s cloud platform, they are likely to migrate other workloads to the cloud.