# Compute

Krutrim Cloud provides a range of compute options designed to meet the demands of modern workloads—from general-purpose virtual machines to high-performance GPU clusters for large-scale AI training. Whether you are building web applications, running simulations, or deploying complex machine learning models, our compute infrastructure is engineered for performance, scalability, and transparency.

***

### Available Compute Services

Krutrim Cloud offers four categories of compute services:

<table><thead><tr><th width="193.09375">Service</th><th>Description</th></tr></thead><tbody><tr><td><strong>CPU Virtual Machines</strong></td><td>General-purpose VMs for development environments, web applications, and backend services</td></tr><tr><td><strong>GPU Virtual Machines</strong></td><td>Ideal for model training, batch inference, and high-performance computing workflows</td></tr><tr><td><strong>GPU Baremetals</strong></td><td>Dedicated, non-virtualized GPU machines for full control over drivers, kernels, and performance tuning</td></tr><tr><td><strong>AI Pods</strong></td><td>Kubernetes-native GPU compute for orchestrated AI workloads including training, fine-tuning, and inference</td></tr></tbody></table>

***

### 1. CPU Virtual Machines

Krutrim’s CPU VMs are powered by AMD EPYC 9554 processors and come with scalable vCPU-RAM configurations, suitable for a wide range of workloads.

| Flavor        | vCPU / RAM       | Unit | On-Demand Price | Monthly Reserved | 6 Month Reserved | 1 Year Reserved |
| ------------- | ---------------- | ---- | --------------- | ---------------- | ---------------- | --------------- |
| CPU-1x-4GB    | 1 vCPU / 4 GB    | Hour | ₹3.00           | ₹2.85            | ₹2.70            | ₹2.10           |
| CPU-2x-8GB    | 2 vCPU / 8 GB    | Hour | ₹6.00           | ₹5.70            | ₹5.40            | ₹4.20           |
| CPU-4x-16GB   | 4 vCPU / 16 GB   | Hour | ₹13.00          | ₹12.35           | ₹11.70           | ₹9.10           |
| CPU-8x-32GB   | 8 vCPU / 32 GB   | Hour | ₹25.00          | ₹23.75           | ₹22.50           | ₹17.50          |
| CPU-16x-64GB  | 16 vCPU / 64 GB  | Hour | ₹49.00          | ₹46.55           | ₹44.10           | ₹34.30          |
| CPU-32x-128GB | 32 vCPU / 128 GB | Hour | ₹97.00          | ₹92.15           | ₹87.30           | ₹67.90          |

### 2. GPU Virtual Machines

GPU VMs offer virtualized access to NVIDIA A100 and H100 GPUs. These instances are suited for intensive compute use cases such as model training, inference serving, and simulation workloads.

| GPU Flavor          | GPU Type / Count | RAM (GB) | GPU Memory (GB) | vCPUs | Unit | On-Demand Price | Monthly Reserved | 6 Month Reserved | 1 Year Reserved |
| ------------------- | ---------------- | -------- | --------------- | ----- | ---- | --------------- | ---------------- | ---------------- | --------------- |
| A100-80GB-NVLINK-1x | A100 80GB ×1     | 96       | 80              | 24    | Hour | ₹189            | ₹148             | ₹132             | ₹98             |
| H100-NVLINK-1x      | H100 ×1          | 200      | 80              | 24    | Hour | ₹213            | ₹198             | ₹186             | ₹173            |
| H100-NVLINK-2x      | H100 ×2          | 400      | 160             | 48    | Hour | ₹426            | ₹396             | ₹372             | ₹346            |
| H100-NVLINK-4x      | H100 ×4          | 800      | 320             | 96    | Hour | ₹852            | ₹792             | ₹744             | ₹692            |

***

### 3. GPU Baremetals

Baremetal GPU instances provide direct access to powerful NVIDIA GPUs without the abstraction of virtualization. These are ideal for users who require advanced GPU configurations, low-level control, and high throughput.

***

### 4. AI Pods

AI Pods offer a Kubernetes-native GPU compute environment, allowing you to run distributed AI workloads such as model training, evaluation, inference, and MLOps workflows. These are managed clusters provisioned with pre-configured GPU compute SKUs.

| Flavor                  | GPU Config  | RAM (GB) | GPU Memory (GB) | vCPUs | Unit | On-Demand Price |
| ----------------------- | ----------- | -------- | --------------- | ----- | ---- | --------------- |
| A100-NVLINK-Tiny        | A100 (Tiny) | 30       | 5               | 16    | Hour | ₹24.00          |
| A100-NVLINK-Nano        | A100 (Nano) | 60       | 10              | 16    | Hour | ₹49.00          |
| A100-NVLINK-Mini        | A100 (Mini) | 60       | 20              | 16    | Hour | ₹73.00          |
| A100-NVLINK-Standard-1x | A100 ×1     | 60       | 40              | 16    | Hour | ₹170.00         |
| A100-NVLINK-Standard-2x | A100 ×2     | 125      | 80              | 16    | Hour | ₹340.00         |
| A100-NVLINK-Standard-4x | A100 ×4     | 250      | 160             | 128   | Hour | ₹510.00         |
| A100-NVLINK-Standard-8x | A100 ×8     | 1000     | 320             | 128   | Hour | ₹1,360.00       |
| H100-NVLINK-Tiny        | H100 (Tiny) | 60       | 10              | 16    | Hour | ₹30.00          |
| H100-NVLINK-Nano        | H100 (Nano) | 60       | 20              | 16    | Hour | ₹61.00          |
| H100-NVLINK-Mini        | H100 (Mini) | 60       | 40              | 16    | Hour | ₹91.00          |
| H100-NVLINK-Standard-1x | H100 ×1     | 125      | 80              | 16    | Hour | ₹213.00         |
| H100-NVLINK-Standard-2x | H100 ×2     | 250      | 160             | 52    | Hour | ₹425.00         |
| H100-NVLINK-Standard-4x | H100 ×4     | 1004     | 320             | 104   | Hour | ₹850.00         |
| H100-NVLINK-Standard-8x | H100 ×8     | 2008     | 640             | 208   | Hour | ₹1,700.00       |

| Storage Type   | Flavor         | Unit | Price / GB / Hour | Price / GB / Month |
| -------------- | -------------- | ---- | ----------------- | ------------------ |
| Ephemeral-SSD  | Ephemeral-SSD  | Hour | ₹0.006            | ₹4.38              |
| Persistent-SSD | Persistent-SSD | Hour | ₹0.006            | ₹4.38              |


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cloud.olakrutrim.com/basics/core-infrastructure/compute.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
