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 Azure if the stack is Microsoft-heavy and you need enterprise identity, hybrid cloud, Windows/SQL integration and broad compliance support.
| Feature | NEY Neysa | AZR Azure |
|---|---|---|
| Provider focus | ~ India-built AI cloud platform focused on managed GPU VMs, bare-metal GPUs, managed Kubernetes clusters and AI workload optimization. | ~ Microsoft hyperscaler focused on enterprise cloud, hybrid infrastructure, security, compliance, Azure Kubernetes Service, databases and Microsoft ecosystem integration. |
| Starting compute reference | ~ AI cloud focused · Public pricing is GPU and AI-cloud led rather than commodity VPS-led. | ~ ₹590/mo · VM Small · B2pts v2 · 2 vCPU · 1 GB RAM example converted to INR. |
| GPU availability | ~ NVIDIA L4 24 GB on-demand AI Cloud reference converted to INR. | ~ A10 GPU example converted to INR. |
| H100 pricing visibility | ~ ₹422/hr · NVIDIA H100 SXM 80 GB on-demand AI Cloud reference converted to INR. | ~ ₹671/hr · 1× H100 80 GB NCadsH100v5 example converted to INR. |
| Billing model | ~ Pro-rated billing with on-demand and reserved pricing options; visible dollar prices converted to INR only. | ~ Broad hyperscaler pricing with reserved and savings options; values converted from GetDeploying examples. |
| Egress / transfer | ✓ Public pricing page states no additional charges for data ingress, egress or inference transactions. | – 100 GB free egress allowance; 1 TB beyond allowance converted to INR. |
| Data-centre / sovereignty | ~ India-built AI cloud positioning with public, private and hybrid deployment options. | ~ 60+ data-centre locations globally with strong enterprise and hybrid-cloud coverage. |
| Support | ~ AI workload, managed infrastructure and Kubernetes-oriented support positioning. | ~ Enterprise support tiers and Microsoft ecosystem support options. |
| Best fit | ~ AI startups, ML teams and enterprises that need GPU cloud, bare-metal options, managed Kubernetes and AI infrastructure economics. | ~ Enterprises already using Microsoft identity, Windows Server, SQL Server, security, compliance and hybrid-cloud tooling. |
| Microsoft ecosystem | – AI cloud platform with GPU and Kubernetes focus | ✓ Best fit for Microsoft identity, Windows, SQL and hybrid workloads |
| GPU economics | ✓ Lower visible H100 reference than Azure after INR conversion | – H100 example is higher in GetDeploying reference |
| Pricing simplicity | ✓ No extra ingress, egress or inference transaction charges in public pricing copy | – Broad pricing model across services, regions and enterprise plans |
| Enterprise governance | – AI workload governance and managed infra positioning | ✓ Deep Microsoft enterprise, compliance and hybrid-cloud ecosystem |
✓ Winner in this category · ~ Partial / context-dependent · highlighted rows = clearer advantage
| 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 |
| VM Small | ₹590/mo | 2 vCPU · 1 GB RAM · B2pts v2 |
| VM Medium | ₹8,357/mo | 4 vCPU · 8 GB RAM · B4pls v2 |
| VM Large | ₹16,714/mo | 8 vCPU · 16 GB RAM · B8pls v2 |
| NVIDIA H100 | ₹671/hr | 1× H100 80 GB |
| NVIDIA A100 | ₹353/hr | 1× A100 80 GB |
| NVIDIA T4 | ₹51/hr | 1× T4 16 GB |
| NVIDIA A10 | ₹43/hr | 1× A10 4 GB |
| Extra egress | ₹8,369/TB | Beyond free allowance |
Neysa is stronger for AI-native GPU workloads where simple AI-cloud economics, managed Kubernetes and India-built infrastructure matter most.
Azure wins when Microsoft ecosystem integration, enterprise identity, hybrid cloud, Windows, SQL and broad compliance tooling are core requirements.
| Use case | Neysa | Azure |
|---|---|---|
| Focused AI GPU economics | ★★★ | ★★☆ |
| Enterprise managed-service breadth | ★★☆ | ★★★ |
| Global region footprint | ★★☆ | ★★★ |
| Pricing simplicity for AI workloads | ★★★ | ★☆☆ |
| Data/egress predictability | ★★★ | ★☆☆ |
| Hyperscaler ecosystem depth | ★☆☆ | ★★★ |
| India-built AI cloud positioning | ★★★ | ★☆☆ |
Browse all tracked cloud providers with pricing, GPU data and India data-centre coverage in INR.
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