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Compute
Simple and Affordable Pricing
All instances are AMD EPYC powered with Dedicated CPU and backed with NVMe storage.
We offer two flexible deployment options to suit your needs:
- Private Deployment: For customers who bring their own hardware or require isolated infrastructure.
- Public Deployment: For customers who prefer a fully managed and instantly scalable environment on shared infrastructure.
Private Deployments
These pricing terms apply in scenarios where the customer supplies and retains ownership of the hardware infrastructure. This model is best suited for clients who operate on-premises environments or intend to deploy and manage their own infrastructure within a datacenter.
| Resource | Cost |
|---|---|
| 1 Core | ₹800/year |
| 1GB RAM | ₹100/year |
| 1Gbps NIC | ₹190/year |
| 1TB Disk | ₹1764/year |
Example
You have a bare metal machine with the following configuration:
- CPU: 64 cores
- Memory: 512 GB RAM
- Network: 200 Gbps NIC
- Storage: 4 TB disk
Assuming the following annual cost per unit:
- CPU: ₹800 per core
- RAM: ₹100 per GB
- Network: ₹190 per Gbps
- Storage: ₹1,764 per TB
Your total yearly cost would be:
₹800 × 64 + ₹100 × 512 + ₹190 × 200 + ₹1,764 × 4 = ₹147,456/year
Public Deployments
n1 class
These instances are powered by AMD EPYC Milan with 50 Gbps of networking bandwidth. These instances are good for general purpose workloads like NodeJS, Golang, Python, etc
| Instance | vCPU | Memory | Reserved | On-Demand |
|---|---|---|---|---|
| n1.2c | 2 vCPU | 8 GiB | ₹2.38/hr | ₹4.77/hr |
| n1.4c | 4 vCPU | 16 GiB | ₹4.76/hr | ₹9.53/hr |
| n1.8c | 8 vCPU | 32 GiB | ₹9.53/hr | ₹19.06/hr |
| n1.16c | 16 vCPU | 64 GiB | ₹19.06/hr | ₹38.13/hr |
| n1.32c | 32 vCPU | 128 GiB | ₹38.13/hr | ₹76.26/hr |
| n1.64c | 64 vCPU | 256 GiB | ₹76.26/hr | ₹152.52/hr |
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