Quick Overview
Compute from
₹1,642/mo
E2E Networks
Compute from
Calculator-led
AWS
GPU from
$0.57/hr
E2E L4
GPU from
Region-specific
AWS
Feature Comparison
| Feature | E2E E2E Networks | AWS AWS |
|---|---|---|
| Provider focus | Indian GPU cloud and AI infrastructure | Global hyperscaler and broad cloud platform |
| GPU buying model | Clear public GPU price table with single-GPU and multi-GPU options | Powerful but quota, region and pricing-calculator dependent |
| H100 packaging | $2.90/hr public single H100 price | P5 nodes provide 8×H100 with UltraCluster scale |
| Managed services | GPU cloud, TIR endpoints and core cloud | Extensive catalogue across AI, databases, serverless, analytics and security |
| India regions | India-focused GPU cloud and local support | AWS Mumbai and Hyderabad regions plus global regions |
| Data transfer | Validate network policy by service | Egress and inter-region transfer charges apply |
| Procurement simplicity | Simpler Indian GPU procurement for many AI teams | Enterprise procurement is mature but billing can be complex |
| Best fit | Cost-sensitive AI teams and Indian GPU workloads | Large enterprises needing global managed-service depth |
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
AWS
AWS Pricing| EC2 compute | Calculator-led |
| Varies by instance, OS, region and commitment | |
| GPU instances | Region-specific |
| P/G/DL families and quota-dependent | |
| P5 H100 node | 8× H100 |
| p5.48xlarge 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 to position for GPU cost clarity and India-first AI teams that do not need the full hyperscaler service catalogue.
Public GPU pricingH100/H200/L40S/L4Indian cloud
AWS
AWS wins for its strongest-fit use cases
AWS wins for enterprises that need mature managed services, global regions, security tooling, marketplace options and large-scale cloud governance.
🌍 HyperscalerUse-case specific winner
| Use case | E2E Networks | AWS |
|---|---|---|
| Broad enterprise managed services | ★ | ★★★ |
| Indian GPU cost clarity | ★★★ | ★ |
| Global regions | ★★ | ★★★ |
| AI training at hyperscale | ★★ | ★★★ |
| No-friction GPU experiments | ★★★ | ★ |
| Marketplace/service ecosystem | ★ | ★★★ |
Data Notes
E2E pricing uses public E2E pages. AWS details use official EC2 P5/H100 documentation and AWS public information. Use AWS Pricing Calculator for final region, OS, quota, support and egress estimates.