---
title: "Cloud Compute: CPU & GPU Virtual Machines in India | E2E Networks"
description: "Linux & Windows VMs from Indian data centers: compute-optimized C3, memory-optimized M3, dedicated SDC, SQL Server and GPU nodes. Snapshots, CDP backups, reserved IPs, monitoring — hourly INR billing, 99.9% SLA."
url: "https://www.e2enetworks.com/cloud-compute-vms"
canonical: "https://www.e2enetworks.com/cloud-compute-vms"
provider: "E2E Networks Limited"
type: "Service"
keywords: ["cloud vm india", "gpu virtual machine india", "cpu intensive compute cloud", "linux vps india", "dedicated compute cloud india", "windows vm india", "sql server vm india"]
priceCurrency: "INR"
taxNote: "Prices exclude GST"
region: "India (Delhi NCR, Chennai)"
generated: "2026-09-21"
---

# Cloud Compute: CPU & GPU Virtual Machines in India | E2E Networks

> Linux & Windows VMs from Indian data centers: compute-optimized C3, memory-optimized M3, dedicated SDC, SQL Server and GPU nodes. Snapshots, CDP backups, reserved IPs, monitoring — hourly INR billing, 99.9% SLA.

Canonical page: https://www.e2enetworks.com/cloud-compute-vms

Virtual machines that do the unglamorous work too. Web servers, databases, batch jobs, SQL Server, render farms — and yes, GPUs. Launch Linux or Windows nodes from the MyAccount console with snapshots, backups and monitoring built in, billed hourly in rupees.

## At a glance

Note: Indicative — see the live rate card for current pricing.

- **9+** — Node families
- **Linux + Windows** — Incl. SQL Server
- **₹49/hr*** — GPU nodes from
- **99.9%** — Uptime SLA
- **15,000+** — Customers

## Node families

The instance families available in the MyAccount console.

| Node family | Optimised for | Typical workloads | Worth knowing |
| --- | --- | --- | --- |
| E1 / E1WC | Lowest practical cost | Dev, test, staging, small services | Root storage sized separately (75GB–2400GB); no default public IP — attach one where supported |
| C3 | CPU throughput | Web/API servers, batch processing, build workers, analytics | Compare M3 if you're swapping — RAM may be the real bottleneck |
| M3 | Memory capacity | In-memory databases, Redis-style caches, real-time big data | Check disk/IOPS too — data workloads are often storage-sensitive |
| SDC3 / SDC4 | Dedicated, predictable compute | Production apps sensitive to noisy neighbours; dedicated DB/middleware | Guaranteed resources; Linux and Windows (WSDC4) variants |
| SQL | Windows + SQL Server | SQL Server Web / Standard workloads | SQL edition and version visible in the plan selector |
| GPU / GDC / GDC3 | GPU acceleration | Deep learning, LLM inference, rendering, HPC, parallel processing | GDC3 = next-gen dedicated GPU plans; shows GPU memory & CUDA version |
| Marketplace | Prebuilt stacks | Ready-made application images | Starts from a product, not a bare OS |

Per-plan hourly and committed prices: https://www.e2enetworks.com/pricing

## Platform capabilities

- **Snapshots — on-demand & scheduled** — Point-in-time copies of the root disk plus selected attached volumes. Lock snapshots against deletion, schedule recurring restore points, or promote a snapshot to a reusable image.
- **CDP Backups** — Continuous protection with recovery points, visible next/last backup times, schedules, and configurable compression — separate from snapshots, purpose-built for restore.
- **Reserved IPs & VPC** — Reserve static public IPs, attach add-on IPs, IPv6 and floating IPs, and place nodes in VPC private networks with security groups controlling inbound and outbound traffic.
- **Monitoring & alerts** — CPU, memory and network graphs per node, with default health alerts on new nodes and custom alert policies that email your team before users notice.
- **Saved images** — Capture a configured node as a golden image and launch identical nodes later — the fastest path to repeatable deployments across environments.
- **Security by default** — SSH keys, security groups, disk encryption where supported, BitNinja server protection, accidental-deletion protection, plus activity, action and billing audit logs on every node.

## How it works

1. **CPU, GPU or Marketplace** — Pick the launch path, then the OS (Linux, Windows, SQL image) or GPU card, and the OS version.
2. **Family & plan** — Choose the category and family — E1, C3, M3, SDC3, SQL, GDC3 — then the exact vCPU/RAM/disk/IOPS plan.
3. **Billing & protection** — Hourly or committed billing, root storage size, backup on/off, encryption where supported.
4. **Network & launch** — Security groups, SSH keys, VPC, volumes — review the live cost summary and launch. Manage everything after via Actions.

## Automate it if you'd rather not click

Every node operation in the console is backed by the MyAccount REST API — create nodes, manage snapshots, attach IPs.

```bash
# illustrative — see docs.e2enetworks.com/api/ for real endpoints & auth
curl -X POST "https://api.e2enetworks.com/myaccount/api/v1/nodes/" \
  -H "Authorization: Bearer $E2E_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "prod-api-01",
    "plan": "C3-8vCPU-16GB",
    "image": "Ubuntu-24.04",
    "security_group_id": 1234,
    "ssh_key": "team-key"
  }'
```

Terraform and full REST API references are published at docs.e2enetworks.com/api.

## Beyond AI: what teams run here

- Production web and API servers on C3
- PostgreSQL, MySQL and Redis-style caches on M3
- Windows line-of-business apps and SQL Server
- Rendering and graphics pipelines on GPU nodes
- Batch processing, build farms and analytics jobs

## Pair compute with the rest of the stack

- Managed Kubernetes for containerised services
- Managed databases without the ops burden
- Autoscaling groups for traffic spikes
- [AI workloads on the TIR platform](https://www.e2enetworks.com/tir)
- [Dedicated GPU training clusters](https://www.e2enetworks.com/training-fine-tuning)

## Frequently asked questions

### Which operating systems are supported?

Linux virtual nodes, Windows virtual nodes, Windows with SQL Server (Web and Standard editions), Smart Dedicated Compute variants of both, plus marketplace application images. GPU nodes can also run NVIDIA NGC images. Exact OS versions are listed in the create-node flow.

### What's the difference between a snapshot and a saved image?

A snapshot is a point-in-time restore copy of node storage (optionally including attached volumes) — use it before risky changes. A saved image is a reusable base for launching new identical nodes. You can also convert a snapshot into a saved image.

### Can I resize a node later?

Yes — plan upgrades are available from the node Actions menu (state-dependent), E1-series root storage can be increased, and block storage volumes can be attached, detached and upgraded from the Volumes tab.

### How do committed plans work?

Commit for a fixed period (up to 365 days) in exchange for lower rates than hourly billing; committed details, renewal settings and period end dates are visible on the node page. Best for steady production workloads.

### Is this the same thing as TIR nodes?

No — these are full virtual machines managed from MyAccount. TIR nodes are container-based AI workspaces with JupyterLab and ML images. Same data centers, same INR billing; pick the abstraction that fits.

## Get started

Hourly INR billing, GST invoices, no forex. Pricing: https://www.e2enetworks.com/pricing · Talk to sales: https://www.e2enetworks.com/contact-sales

- [Start Free](https://myaccount.e2enetworks.com/accounts/signup)
- [Talk to an Engineer](https://www.e2enetworks.com/contact-sales)

---

This Markdown is generated from the same data that renders https://www.e2enetworks.com/cloud-compute-vms. Provider: E2E Networks Limited (NSE: E2E), India. Site index for AI agents: https://www.e2enetworks.com/llms.txt