Nutanix offers flexibility with NKE, allowing you to start with one hardware vendor, such as Lenovo, and later extend the cluster using a different vendor, like Dell. However, NKE supports only up to two different vendors in the same cluster and only accommodates that. Additionally, it is designed to support processes other than the initial phases of AI application development, such as data ingestion and model training, which often require large-scale data processing. However, it can be useful for managing and deploying AI models once trained and operational. I rate it a seven.
Head of Data Center at National Center of Informatics
Real User
Top 20
2024-02-14T15:30:19Z
Feb 14, 2024
NKE is straightforward for basic tasks. Integration can be beneficial when combining various tools, but in our case, as government service providers, we prioritize having a full-stack solution with NKE at the core. This approach ensures a comprehensive solution with a validated architecture covering Kubernetes, databases, AI, software-defined storage, networks, and computing. I rate it a seven out of ten.
The applications are running smoothly. It provides a high-availability platform managed with good tools. I rate Nutanix Kubernetes Engine NKE a nine out of ten.
Learn what your peers think about Nutanix Kubernetes Engine NKE. Get advice and tips from experienced pros sharing their opinions. Updated: November 2024.
Nutanix Kubernetes Engine (NKE) is an enterprise Kubernetes management solution that simplifies provisioning, operations, and lifecycle management of Kubernetes.
I rate the overall solution an eight out of ten.
Nutanix offers flexibility with NKE, allowing you to start with one hardware vendor, such as Lenovo, and later extend the cluster using a different vendor, like Dell. However, NKE supports only up to two different vendors in the same cluster and only accommodates that. Additionally, it is designed to support processes other than the initial phases of AI application development, such as data ingestion and model training, which often require large-scale data processing. However, it can be useful for managing and deploying AI models once trained and operational. I rate it a seven.
NKE is straightforward for basic tasks. Integration can be beneficial when combining various tools, but in our case, as government service providers, we prioritize having a full-stack solution with NKE at the core. This approach ensures a comprehensive solution with a validated architecture covering Kubernetes, databases, AI, software-defined storage, networks, and computing. I rate it a seven out of ten.
I recommend the product to enterprise customers. I rate it a seven out of ten.
The applications are running smoothly. It provides a high-availability platform managed with good tools. I rate Nutanix Kubernetes Engine NKE a nine out of ten.
Overall, I rate the solution an eight out of ten.
We are customers and end-users. I'd recommend the solution to others. It's a very good solution. I'd rate the solution eight out of ten.
I would rate the tool an eight out of ten.
I rate this solution seven out of 10.
I would recommend using this product, it's very good. I would rate this solution an eight out of ten.