Quick Overview
Compute from
₹1,642/mo
E2E Networks
Compute from
Calculator-led
Azure
GPU from
$0.57/hr
E2E L4
GPU from
Region-specific
Azure
Feature Comparison
| Feature | E2E E2E Networks | AZR Azure |
|---|---|---|
| Provider focus | Indian GPU cloud and AI infrastructure | Microsoft hyperscaler and enterprise cloud |
| GPU pricing clarity | Public hourly GPU table | Calculator-led with VM family, region and quota dependencies |
| H100 packaging | $2.90/hr public H100 price | ND H100 v5 is 8×H100 per VM |
| Enterprise integration | GPU cloud, TIR endpoints and core cloud | Deep Microsoft, Windows, SQL, Entra, AKS and Azure AI integration |
| India footprint | India-focused local cloud positioning | Azure India region footprint and global regions |
| Billing simplicity | Clearer public GPU rates for common AI accelerators | Enterprise-grade but complex SKU/licensing/support billing |
| Data transfer | Validate bandwidth and IP policy by service | Bandwidth/egress charges apply |
| Best fit | AI teams comparing Indian GPU pricing | Microsoft-centric enterprise cloud programs |
Highlighted rows show the stronger fit for that category. Tie means both providers can be valid depending on workload and contract terms.
Pricing Comparison
E2E
E2E Networks Pricing| Cloud VM reference | ₹1,642/mo |
| C2.12GB · 4 vCPU · 12 GB RAM · 100 GB SSD | |
| NVIDIA L4 | $0.57/hr |
| 24 GB vRAM · 25 vCPU · 110 GB RAM | |
| NVIDIA L40S | $1.20/hr |
| 48 GB vRAM · 60 vCPU · 220 GB RAM | |
| NVIDIA H100 | $2.90/hr |
| 80 GB vRAM · 26 vCPU · 250 GB RAM | |
Public GPU table · per-minute GPU billing · hourly/monthly/annual options
AZR
Azure Pricing| Azure VM compute | Calculator-led |
| Varies by VM family, OS and region | |
| GPU VM pricing | Region-specific |
| NC/ND/NV family and quota dependent | |
| ND H100 v5 | 8× H100 |
| Standard_ND96isr_H100_v5 spec reference | |
| Data transfer | Charged by route/service |
| Validate in architecture | |
Provider prices can change. Validate final SKU, region, taxes, bandwidth and support terms.
⚠️ Note: Public prices can vary by region, GPU count, commitment term, OS, IPs, storage and network usage. Treat this page as a comparison draft and verify every production quote with the provider.
Our Verdict
E2E
E2E Networks wins for GPU-led AI infrastructure
E2E Networks is easier for price-led GPU buyers and Indian AI teams that need transparent GPU rates instead of Azure quota and SKU complexity.
Public GPU pricingH100/H200/L40S/L4Indian cloud
AZR
Azure wins for its strongest-fit use cases
Azure wins when the cloud decision is tied to Microsoft enterprise architecture, hybrid cloud, AKS, Azure AI and regulated global operations.
🌍 HyperscalerUse-case specific winner
| Use case | E2E Networks | Azure |
|---|---|---|
| Microsoft enterprise stack | ★ | ★★★ |
| Indian GPU cost clarity | ★★★ | ★ |
| Azure AI/AKS integration | ★ | ★★★ |
| Simpler H100 pricing view | ★★★ | ★ |
| Hybrid cloud governance | ★ | ★★★ |
| GPU experiments and PoCs | ★★★ | ★ |
Data Notes
E2E pricing uses public E2E pages. Azure details use Microsoft Learn documentation for ND H100 v5 and general Azure VM pricing patterns. Use Azure Pricing Calculator for exact region, OS, disk, bandwidth and support estimates.