Smooth scaling Infrastruture.
December 24, 2022
Smooth scaling Infrastruture.
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Cloud Kubernetes Service
I have to work with scaling deep learning software, especially training at scale over CPU and GPUs. I use Kubernetes in the IBM cloud to achieve that over CPUs. The ease is a production-ready environment. I don't have to worry about all nitty-gritty details of infrastructure and can focus on scaling my models, dataset, and application.
Pros
- Pod re-starts and maintain quality of service.
- Scaling at infrastructure level.
- Readily available hardware resources.
Cons
- Availability of more GPU resources.
- More selection of operating systems.
- Less start cost of a POC from 10000s yo 100s.
- Adaptive scaling.
- Isolation of liabilities.
We don't use much GUI except maybe utilization visualization.
I have used a few third-party services. I use them mainly for competitive analysis and proving parity in my results testing with another similar tool.
Do you think IBM Cloud Kubernetes Service delivers good value for the price?
Yes
Are you happy with IBM Cloud Kubernetes Service's feature set?
Yes
Did IBM Cloud Kubernetes Service live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of IBM Cloud Kubernetes Service go as expected?
Yes
Would you buy IBM Cloud Kubernetes Service again?
Yes
Comments
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