E2E2E Networks GPU Cloud
Made in IndiaIndia's leading GPU cloud provider offering NVIDIA A100 and H100 instances at 40-60% lower cost than global hyperscalers. Data centres in India for data sovereignty.
Best for
- •Indian AI companies needing GPU compute with data sovereignty compliance.
- •Startups seeking 40-60% cost savings over AWS/GCP GPU instances.
Limitations
- •Smaller global footprint — single region (India) only.
- •Fewer managed ML services compared to AWS/GCP.
- •Community and documentation smaller than hyperscaler ecosystems.
Use carefully when
- •You need multi-region global deployment with edge presence.
- •Your team relies heavily on AWS/GCP managed ML services.
Quickstart
- Sign up on E2E Networks and select GPU instance type (A100/H100).
- Deploy your ML workload using Docker or Kubernetes on the provisioned instance.
- Configure autoscaling and monitoring for production inference.
Setup checklist
- • API key required: Yes
- • SDK quality: medium
- • Self-host difficulty: medium
Usage Notes
- • Validate model behavior on your own benchmark slices before rollout.
- • Pin version/provider routes for reproducible outputs.
- • Add logging + fallback routes for high-volume workloads.
Pricing (EUR)
Input / 1M
-
Output / 1M
-
Monthly
1.034 €
Capabilities
- gpuTypesA100, H100
- indianDataCentreYes
- dataSovereigntyYes
- autoscalingYes
- kubernetesSupportYes
Benchmarks
cost Savings Percent
50
uptime S L A
99.95
gpu Availability Score
88
Community reviews
0 reviews • avg —
No reviews yet.
Samples
codeGPU instance setup
Deploy LLM inference on E2E A100 with TGI container.
Compliance
- License: proprietary
- Commercial use: allowed
Provenance
- Last verified: 3/3/2026
- Source: https://www.e2enetworks.com