Amazon Web Services (AWS) vs Shakti Cloud Comparison

Why choose Amazon Web Services (AWS)

• Has a free plan (Shakti Cloud does not)
• Higher Integration score (10/10 vs 6/10)
• Higher Analytics score (8/10 vs 4/10)
• Better fit for developers (9/10 vs 6/10)
• Better fit for startups (8/10 vs 6/10)

Why choose Shakti Cloud

• Higher Ease of Use score (5/10 vs 4/10)

Amazon Web Services (AWS)

Pros

• The service catalogue is unusually broad, with over 200 services across 38 regions, so most infrastructure needs can be met on one platform.
• EC2 has a 99.99% region-level SLA with credits of up to 100%, and instances unavailable for more than six minutes in an hour are not billed for that hour.
• The free plan gives up to $200 in credits, and more than 30 always-free services let new teams experiment at low cost.
• Support scales from a $29 minimum up to dedicated Enterprise and Unified Operations tiers for mission-critical workloads.
• G2 rates it 4.4 across more than 17,000 reviews, and reviewers praise its scalability and global reach.

Cons

• Reviewers widely cite a steep learning curve across the console and services.
• Usage pricing is complex and can produce unexpected bills unless spend is monitored closely.
• Paid support is billed as a percentage of total AWS spend, so support costs rise with usage.
• A July 2025 billing console bug showed customers estimated charges in the billions, which hurt trust in its cost tooling.

Shakti Cloud

Pros

• It publishes INR prices for VMs, bare metal and clusters, so Indian buyers avoid exchange-rate risk and can estimate costs without a sales call.
• Data centres in Navi Mumbai and Greater Noida keep data in India for DPDP Act compliance.
• It covers the full range from hourly single-GPU VMs to 256-plus-GPU H100 clusters over InfiniBand, as one of NVIDIA's Cloud Partners.
• Unlimited ingress and egress are included on VMs, and data transfer is included on bare metal and clusters.
• It bundles NVIDIA AI Enterprise and NIM, plus OpenAI-compatible serverless endpoints for hosted open models.

Cons

• The on-demand H100 VM, at 356 rupees per hour, costs more than Cyfuture AI (329) and JarvisLabs (about 330), according to a comparison article.
• It is limited to GPU and AI workloads. It has no general web hosting, managed databases, object storage pricing or CDN.
• InfiniBand and the Kubernetes control plane cost extra, and term discounts are not published.
• Independent user reviews are scarce, and sources disagree on whether access is self-serve or quote-based.