Quick Overview
Compute from
₹1,642/mo
E2E Networks
Compute from
Quote-led
Neysa
GPU from
$0.57/hr
E2E L4
GPU from
$1.17/hr
Neysa
Feature Comparison
| Feature | E2E E2E Networks | NEY Neysa |
|---|---|---|
| Provider focus | GPU cloud, TIR model endpoints and AI infrastructure | AI-native cloud with managed VM, bare metal GPU and Kubernetes options |
| L4 pricing | $0.57/hr public E2E price | $1.17/hr Neysa starting price |
| L40S pricing | $1.20/hr public E2E price | $1.95/hr Neysa starting price |
| H100 pricing | $2.90/hr public E2E price | $4.39/hr Neysa starting price |
| AI platform features | TIR inference/model endpoints and GPU cloud | Jupyter, ML lifecycle tools, inference endpoints and managed Kubernetes listed |
| No egress/inference transaction fees | Validate network policy by service | No additional ingress, egress or inference transaction charges stated |
| Deployment models | Public cloud and GPU platform | Public, private and hybrid AI cloud models |
| Best fit | Cost-sensitive GPU users and AI builders | Enterprise AI teams needing managed AI platform layers |
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
NEY
Neysa Pricing| NVIDIA L4 | $1.17/hr |
| On-demand starting price | |
| NVIDIA L40S | $1.95/hr |
| On-demand starting price | |
| NVIDIA H100 SXM/NVL | $4.39/hr |
| On-demand starting price | |
| NVIDIA H200 SXM | $4.73/hr |
| On-demand starting price | |
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 stronger on public GPU price competitiveness, especially when comparing L4, L40S, H100 and H200 starting points.
Public GPU pricingH100/H200/L40S/L4Indian cloud
NEY
Neysa wins for its strongest-fit use cases
Neysa is stronger when buyers want a more managed AI cloud layer with Kubernetes, Jupyter, inference endpoints and private/hybrid deployment flexibility.
🇮🇳 Indian AI cloudUse-case specific winner
| Use case | E2E Networks | Neysa |
|---|---|---|
| Lowest public GPU starting prices | ★★★ | ★★ |
| Managed AI platform features | ★★ | ★★★ |
| Private/hybrid AI deployment | ★★ | ★★★ |
| Hourly GPU experiments | ★★★ | ★★ |
| No egress/inference transaction claim | ★★ | ★★★ |
| AI inference endpoints | ★★★ | ★★★ |
Data Notes
E2E pricing uses the E2E public GPU pricing page. Neysa details use Neysa Velocis public pricing, including no ingress/egress/inference transaction charge claims and managed AI platform features.