Run demanding enterprise workloads in Google Cloud with one consistent operation model.
Not every application follows the same path to the cloud. Some workloads are ready to move quickly, while others - particularly legacy applications, databases, and performance-sensitive systems - need a cloud environment that can provide predictable infrastructure without requiring a major redesign.
Nutanix Cloud Clusters (NC2) on Google Cloud now supports Google Cloud’s Z4D bare metal instances, powered by 5th Gen AMD EPYC processors. This gives organizations another way to extend their Nutanix environments into Google Cloud, run demanding workloads on dedicated infrastructure, and connect applications to Google Cloud services - including services that support modern analytics and AI initiatives.
The result is a practical option for organizations that want the flexibility of hybrid cloud without creating a separate operating model for every location.
NC2 brings the Nutanix Cloud Platform experience to public cloud environments. It runs the Nutanix software stack on Google Cloud bare metal, allowing teams to manage workloads in their Google Cloud account and VPC while using the same core data and management plane across environments. Learn more about NC2 on Google Cloud.
Z4D adds a new infrastructure choice for workloads that benefit from direct access to physical hardware, high CPU density, local storage, and low-latency execution. That can include:
For these workloads, the goal is not simply to move an application to the cloud. It is to place the application on infrastructure that meets its performance requirements while preserving operational consistency.
With NC2 on Google Cloud, organizations can use a familiar Nutanix experience across their data center and cloud environments. That consistency can simplify several common hybrid cloud initiatives.
The Z4D bare metal configuration described for this offering combines 5th Gen AMD EPYC processors with high-density local storage, substantial memory, and high-bandwidth networking.
Capability | Published maximum or configuration |
|---|---|
Processor | 5th Gen AMD EPYC processors (Turin) |
Local SSD | 84 TiB (12 × 7 TB) |
Compute | 192 physical cores (2 × 96) at 3.9 GHz |
Memory | 3,072 GiB DDR5 |
Networking | Up to 400 Gbps (2 × 200 Gbps) |
Actual availability and configuration details may vary by Google Cloud region and should be confirmed in the applicable Google Cloud and Nutanix documentation.
Hybrid cloud is most useful when it gives IT teams meaningful choices. A workload may stay on premises for governance or latency reasons, move to the public cloud for capacity or geographic reach, or use a combination of Nutanix and native cloud services as it evolves.
NC2 on Google Cloud Z4D supports that workload-first approach by combining:
Together, these capabilities give organizations a way to make infrastructure decisions based on application requirements - not on the limitations of a single deployment model.
For organizations planning their next phase of hybrid cloud, NC2 on Z4D can help answer practical questions:
The answer will be different for every environment. The value of this new option is that it gives teams more room to choose the right answer.
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