Neysa
E2E Networks
Choose Neysa if your workload is AI-first and you need GPU VMs, bare-metal GPU options, managed Kubernetes clusters and predictable AI cloud economics.
Choose E2E Networks if visible GPU pricing, MeitY positioning, H100/H200/A100/L40S availability and Indian AI cloud infrastructure are the main requirement.
Quick Overview
Feature Comparison
| Feature | NEY Neysa | E2E E2E Networks |
|---|---|---|
| Provider focus | ~ India-built AI cloud platform focused on managed GPU VMs, bare-metal GPUs, managed Kubernetes clusters and AI workload optimization. | ~ Indian cloud infrastructure provider with public GPU pricing, MeitY empanelment positioning and AI/ML GPU cloud services. |
| Starting compute reference | ~ AI cloud focused · Public pricing is GPU and AI-cloud led rather than commodity VPS-led. | ~ GPU-first pricing · Public reference is strongest around GPU compute rather than commodity VPS examples in this comparison. |
| GPU availability | ~ NVIDIA L4 24 GB on-demand AI Cloud reference converted to INR. | ~ NVIDIA L4 24 GB public GPU table converted to INR. |
| H100 pricing visibility | ~ ₹422/hr · NVIDIA H100 SXM 80 GB on-demand AI Cloud reference converted to INR. | ~ ₹279/hr · NVIDIA H100 80 GB public GPU table converted to INR. |
| Billing model | ~ Pro-rated billing with on-demand and reserved pricing options; visible dollar prices converted to INR only. | ~ Transparent per-minute GPU billing with hourly, monthly and annual price references converted to INR. |
| Egress / transfer | ✓ Public pricing page states no additional charges for data ingress, egress or inference transactions. | – Network, IP, object storage and bandwidth charges should be validated by service and workload. |
| Data-centre / sovereignty | ~ India-built AI cloud positioning with public, private and hybrid deployment options. | ~ India-focused cloud platform with MeitY empanelment and local GPU infrastructure positioning. |
| Support | ~ AI workload, managed infrastructure and Kubernetes-oriented support positioning. | ~ 24/7 local support positioning for GPU and cloud workloads. |
| Best fit | ~ AI startups, ML teams and enterprises that need GPU cloud, bare-metal options, managed Kubernetes and AI infrastructure economics. | ~ AI startups, ML teams and developers comparing visible GPU prices for H100, H200, A100, L40S, L4 and B200 workloads. |
| GPU entry reference | – L4 starts higher on Neysa public pricing after INR conversion | ✓ L4 starts lower on E2E public table after INR conversion |
| H100 reference | – H100 SXM on-demand AI Cloud reference | ✓ H100 public table reference is lower after INR conversion |
| AI platform layer | ✓ Managed GPU VMs, bare-metal GPUs and managed Kubernetes clusters | – GPU cloud infrastructure with public accelerator table |
| Procurement proof | – India-built AI cloud positioning | ✓ MeitY empaneled positioning on public E2E pages |
✓ Winner in this category · ~ Partial / context-dependent · highlighted rows = clearer advantage
Pricing Comparison
| NVIDIA L4 | ₹113/hr | 24 GB GPU · on-demand AI Cloud |
| NVIDIA L40S | ₹188/hr | 48 GB GPU · on-demand AI Cloud |
| NVIDIA H100 SXM | ₹422/hr | 80 GB GPU · on-demand AI Cloud |
| NVIDIA H100 NVL | ₹422/hr | 94 GB GPU · on-demand AI Cloud |
| NVIDIA H200 SXM | ₹455/hr | 141 GB GPU · on-demand AI Cloud |
| L4 reserved monthly | ₹41,209/mo | 36-month reserved reference |
| H100 reserved monthly | ₹171,232/mo | 36-month reserved reference |
| VKE Master Node | ₹10,903/mo | Non-HA monthly reference |
| NVIDIA L4 | ₹55/hr | 1× L4 24 GB |
| NVIDIA L40S | ₹115/hr | 1× L40S 48 GB |
| NVIDIA A100 | ₹202/hr | 1× A100 80 GB |
| NVIDIA H100 | ₹279/hr | 1× H100 80 GB |
| NVIDIA H200 | ₹336/hr | 1× H200 141 GB |
| NVIDIA B200 | ₹471/hr | 1× B200 192 GB |
| H100 monthly reference | ₹174,863/mo | Converted public monthly price |
Our Verdict
Neysa wins when AI cloud economics are the priority
Neysa is better when the AI platform layer, managed Kubernetes, bare-metal options and AI workload lifecycle support matter beyond raw GPU rates.
E2E Networks wins when its core specialization matters
E2E Networks is stronger when the priority is visible lower GPU pricing, MeitY positioning and a broad public accelerator table.
| Use case | Neysa | E2E Networks |
|---|---|---|
| AI-native platform layer | ★★★ | ★★☆ |
| Raw visible GPU pricing | ★★☆ | ★★★ |
| MeitY procurement signal | ★★☆ | ★★★ |
| Managed Kubernetes for AI | ★★★ | ★★☆ |
| Lower H100 public reference | ★☆☆ | ★★★ |
| No egress add-on positioning | ★★★ | ★☆☆ |
| Bare-metal AI options | ★★★ | ★★☆ |
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