The world's largest cloud - 38 global regions, 200+ services, Mumbai and Hyderabad data centres, H100 GPU in India, Graviton ARM processors, and the deepest managed service ecosystem on the planet. India is AWS's second-largest market globally by web traffic.
Amazon Web Services (AWS), launched in 2006 and headquartered in Seattle, is the world's leading cloud platform by every measurable dimension - market share (31%), revenue ($116B+ annualised in 2025), number of regions (38 globally), services offered (200+), and enterprise penetration (85%). What began as internal Amazon infrastructure became the blueprint for the entire cloud computing industry.
For Indian customers, AWS is not a foreign cloud at arm's length - it has two full-scale Indian regions: Asia Pacific (Mumbai), launched in 2016, and Asia Pacific (Hyderabad), launched in 2022. Both offer the complete suite of compute, storage, database, AI/ML, networking, and security services. Crucially, Mumbai is one of the few regions worldwide with H100 GPU availability (p5 instances), meaning Indian teams can train frontier AI models on local infrastructure without routing traffic to the US or Europe.
India is AWS's second-largest market by web traffic globally (10.83%), and AWS has pledged $13.2 billion in India infrastructure investment through 2030. The company operates 53 renewable energy projects in India. AWS Bedrock, SageMaker, Trainium, and Inferentia bring a managed AI stack that no Indian provider can yet match in depth.
AWS's key advantages over alternatives are: depth of managed services (no need to self-manage databases, queues, ML pipelines), global reach for multi-region architectures, the Graviton ARM processor (up to 40% better price-performance than x86), Spot Instances (up to 90% discount for fault-tolerant workloads), and unmatched enterprise certifications - including ISO, SOC, PCI DSS, HIPAA, FedRAMP, and MeitY-aligned compliance frameworks.
All prices in USD per month (On-Demand, Linux). Mumbai adds ~20-30% premium over us-east-1. Per-second billing with 60-second minimum. EBS storage billed separately (~$0.10/GB-month for gp3).
Full price, no commitment. Per-second billing. Best for unpredictable or short-term workloads. Use as a baseline to compare other models.
1-3 year commitment. 37-72% savings. EC2 Savings Plans are flexible across instance families. Best for steady, predictable workloads.
Up to 90% off On-Demand. Interruptible with 2-min notice. Best for ML training, batch jobs, CI/CD, and stateless workloads.
| Instance | vCPU | RAM | On-Demand / hr | ~Monthly | 1-yr Savings Plan |
|---|---|---|---|---|---|
| t3.micro | 2 | 1 GB | $0.0116 | ~$8.40 | ~$5.20 |
| t3.small | 2 | 2 GB | $0.0232 | ~$17 | ~$10 |
| t3.medium | 2 | 4 GB | $0.0464 | ~$33 | ~$21 |
| t3.large | 2 | 8 GB | $0.0928 | ~$67 | ~$41 |
| Instance | vCPU | RAM | On-Demand / hr | ~Monthly | vs x86 saving |
|---|---|---|---|---|---|
| m7g.medium | 1 | 4 GB | $0.0413 | ~$30 | ~20% cheaper |
| m7g.large | 2 | 8 GB | $0.0826 | ~$60 | ~20% cheaper |
| m7g.xlarge | 4 | 16 GB | $0.1651 | ~$119 | ~20% cheaper |
| Instance | GPU / Chip | GPUs | VRAM | Region | On-Demand / hr |
|---|---|---|---|---|---|
| p5.48xlarge | ⚡ NVIDIA H100 | 8× | 640 GB | 🇮🇳 Mumbai | $98.32 |
| p5en.48xlarge | 🆕 NVIDIA H200 | 8× | 1.1 TB | 🇮🇳 Mumbai | $41.61 |
| g6.xlarge | ⚡ NVIDIA L4 | 1× | 24 GB | US / EU | $0.80 |
| trn2.48xlarge | 🔧 AWS Trainium2 | 64× | 1.5 TB | US East | ~$32 |
| inf2.xlarge | 🔧 AWS Inferentia2 | 1× | 32 GB | Multiple | $0.76 |
AWS Mumbai GPU is ~4× more expensive than Indian providers for raw compute. The premium buys deep managed services, SageMaker integration, Bedrock, and enterprise SLAs - worth it for production AI, less so for pure training runs.
| Service | Starting price | Notes |
|---|---|---|
| Amazon S3 | $0.023/GB-mo | First 50TB in ap-south-1. Egress $0.09/GB after 100GB free. |
| Amazon RDS (MySQL/Postgres) | ~$25/mo | db.t4g.micro, 20 GB gp3. Multi-AZ doubles the cost. |
| Amazon EKS (Kubernetes) | $0.10/hr/cluster | $73/mo for control plane + worker node Droplet costs. |
| AWS Lambda | Free tier | 1M requests + 400K GB-sec free forever. Beyond: $0.20/1M requests. |
| Amazon Bedrock (Claude) | Pay per token | No GPU management. Claude Sonnet: ~$3/M input, $15/M output tokens. |
| Amazon SageMaker | ~$0.046/hr | ml.t3.medium notebook instance. Training + hosting billed separately. |
| Amazon CloudFront (CDN) | Free tier | 1 TB/mo + 10M requests free forever. Beyond: $0.0085/GB (India). |
| AWS Free Tier (12 months) | Free | 750 hrs t3.micro, 30 GB EBS, 5 GB S3, 15 GB data transfer, + more. |
AWS offers 200+ services. Below are the most relevant categories for Indian developers and enterprises.
| Region | City | Code | AZs | GPU Available |
|---|---|---|---|---|
| 🇮🇳 Asia Pacific | Mumbai | ap-south-1 | 3 | ✓ H100 (p5), H200 (p5en), L4 |
| 🇮🇳 Asia Pacific | Hyderabad | ap-south-2 | 3 | CPU / select instances |
| 🇸🇬 Asia Pacific | Singapore | ap-southeast-1 | 3 | ✓ GPU available |
| 🇯🇵 Asia Pacific | Tokyo | ap-northeast-1 | 4 | ✓ H100 (p5), H200 |
| + 34 more regions across USA, Europe, Middle East, Africa, LATAM | ||||
AWS operates 38 regions globally with 121 Availability Zones (as of 2025). Full list at aws.amazon.com/about-aws/global-infrastructure.
AWS is the right choice when you need its depth. But for many Indian workloads, the alternatives below offer dramatically better value:
India's NSE-listed cloud with H200/H100 GPU from ₹49/hr spot - ~4× cheaper than AWS Mumbai for raw GPU. INR billing, Indian data sovereignty. Ideal when you need GPU training without AWS's managed service overhead.
MeitY-empanelled Indian cloud with 20+ years of enterprise track record. H100 from ₹219/hr - ~11× cheaper than AWS on-demand GPU. Better for Indian government and regulated sector workloads.
Blackstone-backed India neocloud with managed AI stack (MLOps, Inference, RAG, Voicebot). Combines Indian sovereignty with SageMaker-like tooling - at a fraction of AWS pricing.
India's GPU-first cloud with H100, A100 at INR pricing. Self-serve, simple, up to 60% cheaper than AWS. Good for AI/ML teams that want Indian data sovereignty without the complexity of AWS's 200+ services.
India's most affordable VPS cloud - NVMe Droplets from ₹399/mo with INR billing and 7 DC locations. Best AWS alternative for budget-conscious teams that don't need the AWS managed service ecosystem.
The developer cloud - Droplets from $4/mo, Bangalore DC, best-in-class DX and docs. Great AWS alternative for startups and developers who want simplicity, predictable pricing, and no AWS complexity tax.
750 hrs/month EC2 t3.micro, 30 GB EBS, 5 GB S3, 15 GB transfer, Lambda free tier, and more. No credit card surprises for 12 months.
Start Free Tier →AWS bills in USD and is not MeitY-empanelled. GPU in Mumbai costs ~4–11× more than Indian providers like E2E or Cyfuture. Use AWS when you need Bedrock, SageMaker, or its managed service ecosystem - use Indian providers for raw compute cost savings.