Simple pricing, full transparency, no surprises.
GPU Kubernetes with Transparent Prices
Cloudalize makes Kubernetes (K8s) simple for DevOps, data scientists and anyone who wants to make Artificial Intelligence (AI) a success. Our Kubernetes GPU Cloud offers a fully-managed Kubernetes infrastructure to orchestrate your containers powered by next-generation graphical-processing units (GPUs).
Kubernetes GPU Cloud is cost effective and made for any budget. Cloudalize has made pricing simple and transparent. What you want, you get: you pay for what you use for as long as need without long-term contracts or complex billing.
Core Kubernetes Resources
You pay per minute with your required GPUs (up to 4 GPUs) and per storage needs. The auto-scaling feature allows you to optimise your capcity based on demand so you only pay for what you use of the GPU resources.
With Cloudalize, it is free to set up a Kubernetes environment. You will not be charged until you start harnessing GPU drop on the containers in your Kubernetes cluster.
Kubernetes GPU Cloud Main Page
Kubernetes GPU Cloud Pricing Grid
| NVIDIA Quadro P2000 | NVIDIA Quadro P5000 | |
| CPUs | 4 | 4 |
| RAM | 32 GB | 32 GB |
| GPU RAM | 5 GB | 16 GB |
| GPU Peak Single Precision Performance | Up to 3.0 TFLOPS | Up to 8.9 TFLOPS |
| GPU Memory Bandwidth | Up to 140 GB/s | Up to 288 GB/s |
| Master Node | 1 node | 1 node |
| K8 Cost per Minute | EUR/USD 0.006 | EUR/USD 0.01 |
| Storage (250 GB) per month | EUR/USD 50 | |
*All prices exclude VAT or sales tax.
Kubernetes cluster and transit included in all plans.
- Free initial setup.
- Container delivery: Kubernetes
- Container OS: Ubuntu
- Connection: Kube API
Contact the Team to get started
Additional Cloudalize Resources
To help you build a GPU-enabled Kubernetes environment that can process the data and run complex algorithms at speed, Cloudalize’s Kubernetes GPU Cloud is a flexible solution which can be tailored to your requirements, from extra storage on your shared drive to additional or well-defined setups.
Storage
Supported storage provisioners for Kubernetes GPU Cloud include block storage (ReadWriteOnce) and NFS (ReadWriteMany).
Multi-master
For large deployments, we can set up multiple Master Nodes to provide high availability for your cluster, all in a single cloud environment which improves resilience
Professional Services
If you require beyond a normal cluster setup such as managing applications on top of Kubernetes and providing object storage within the container environment, you can request our professional service at the rate of EUR/USD 100 per hour.
Tailor-made Solution
Kubernetes GPU Cloud like other Cloudalize products is completely customisable to your requirements, objectives and goals.