--- title: "GPU Cloud India | Rent NVIDIA GPUs from ₹49/hr" description: "India's #1 GPU Cloud. Rent NVIDIA B200, H200, H100 & A100 GPUs from ₹49/hr. AI training, inference & HPC. Data centers in India. MeitY empanelled. Deploy in minutes." url: "https://www.e2enetworks.com/gpu-cloud" canonical: "https://www.e2enetworks.com/gpu-cloud" provider: "E2E Networks Limited" type: "Service" keywords: ["gpu cloud", "gpu cloud computing", "cloud gpu", "gpu server", "gpu cloud india", "rent gpu india", "nvidia h100 cloud", "nvidia h200 cloud", "nvidia a100 rental", "ai gpu cloud", "ml gpu infrastructure", "gpu cloud providers india", "cheap gpu cloud", "gpu rental hourly", "ai training cloud india", "llm training gpu", "deep learning cloud", "gpu as a service"] priceCurrency: "INR" taxNote: "Prices exclude GST" region: "India (Delhi NCR, Chennai)" generated: "2026-09-11" --- # GPU Cloud India | Rent NVIDIA GPUs from ₹49/hr > India's #1 GPU Cloud. Rent NVIDIA B200, H200, H100 & A100 GPUs from ₹49/hr. AI training, inference & HPC. Data centers in India. MeitY empanelled. Deploy in minutes. Canonical page: https://www.e2enetworks.com/gpu-cloud GPU Cloud India — Rent NVIDIA GPUs from ₹49/hr India's leading GPU cloud for AI training, inference & HPC. Deploy B200, H200, H100, A100 & L4 GPUs in minutes with transparent INR pricing and 24/7 local support. ## At a glance - **Accreditation:** MeitY Empanelled | NVIDIA Preferred Partner - **Regions:** Delhi NCR and Chennai, India - **Billing:** Hourly, in INR, GST invoices, no forex exposure - **Uptime SLA:** 99.9% - **GPU models available:** NVIDIA B200, NVIDIA H200, NVIDIA H100, NVIDIA RTX PRO 6000, NVIDIA A100 80GB, NVIDIA A100 40GB, NVIDIA A40, NVIDIA L40S, NVIDIA A30, NVIDIA L4 ## GPU instances and on-demand prices | GPU | VRAM | vCPUs | RAM | Price / hour (INR) | Product page | | --- | --- | --- | --- | --- | --- | | NVIDIA B200 | 192 GB | 32 | 400 GB | ₹671 | https://www.e2enetworks.com/gpus/nvidia-b200 | | NVIDIA H200 | 141 GB | 30 | 375 GB | ₹436 | https://www.e2enetworks.com/gpus/nvidia-h200 | | NVIDIA H100 | 80 GB | 26 | 250 GB | ₹362 | https://www.e2enetworks.com/gpus/nvidia-h100 | | NVIDIA RTX PRO 6000 | 96 GB | 32 | 170 GB | ₹182 | https://www.e2enetworks.com/gpus/nvidia-rtx-pro-6000 | | NVIDIA A100 80GB | 80 GB | 16 | 115 GB | ₹189 | https://www.e2enetworks.com/gpus/nvidia-a100-80gb | | NVIDIA A100 40GB | 40 GB | 16 | 115 GB | ₹179 | https://www.e2enetworks.com/gpus/nvidia-a100-40gb | | NVIDIA A40 | 48 GB | 16 | 100 GB | ₹96 | https://www.e2enetworks.com/gpus/nvidia-a40 | | NVIDIA L40S | 48 GB | 60 | 220 GB | ₹102 | https://www.e2enetworks.com/gpus/nvidia-l40s | | NVIDIA A30 | 24 GB | 16 | 90 GB | ₹90 | https://www.e2enetworks.com/gpus/nvidia-a30 | | NVIDIA L4 | 24 GB | 25 | 110 GB | ₹49 | https://www.e2enetworks.com/gpus/nvidia-l4 | Prices exclude GST. Full rate card including monthly and committed terms: https://www.e2enetworks.com/pricing · JSON feed: https://www.e2enetworks.com/pricing.json ## Why teams choose E2E GPU cloud - **Instant Deployment** — Launch GPU instances in under 60 seconds. Self-serve console or API access with pre-configured AI stacks including PyTorch, TensorFlow, and vLLM. - **Flexible Pricing** — Pay hourly, monthly, or annually with no hidden fees. Save up to 40% with longer commitments. Transparent pricing in INR with no currency risk. - **India Data Centers** — Your data stays in India. Data centers in Delhi NCR and Chennai ensure complete data sovereignty and compliance with Indian regulations including DPDP. - **Enterprise Security** — SOC2 Type II, ISO 27001, ISO 27017, and PCI DSS certified. End-to-end encryption, VPC isolation, and advanced access controls. - **24/7 IST Support** — Round-the-clock technical support in Indian timezone. Dedicated account managers for enterprise customers. No more waiting for US business hours. - **MeitY Empanelled** — NSE-listed company (E2E) empanelled by Ministry of Electronics and IT. Eligible for government projects and public sector deployments. ## What customers run on it - **LLM Training** — Train large language models like GPT, Llama, and custom LLMs on H200/H100 GPU clusters with NVLink interconnects for maximum throughput. (70B+ Parameter Models) - **AI Inference at Scale** — Deploy production inference endpoints with sub-second latency. Auto-scaling and load balancing included. (10K+ Requests/sec) - **Model Fine-Tuning** — LoRA, QLoRA, and full fine-tuning for domain-specific AI models. Optimize open-source models for your use case. (10x Faster Training) - **Computer Vision** — Object detection, image segmentation, video analytics, and real-time processing for manufacturing, retail, and security. (Real-time Processing) ## E2E Networks compared with global hyperscalers | Feature | E2E Networks | Global hyperscalers | | --- | --- | --- | | GPU Pricing | Transparent INR pricing | 70%+ higher | | Data Location | India (Delhi NCR & Chennai) | Overseas (Singapore/US) | | Deploy Time | Under 1 minute | 5-10 minutes | | Minimum Commitment | None (hourly billing) | Often reserved instances | | MeitY Empanelled | Yes | No | | Local Support | 24/7 IST timezone | Limited India presence | | Currency Risk | None (INR billing) | USD fluctuation | ## Frequently asked questions — General ### What is GPU cloud computing? GPU cloud computing provides on-demand access to Graphics Processing Units (GPUs) over the internet, eliminating the need to purchase and maintain physical hardware. It enables businesses to run AI training, machine learning inference, deep learning, and high-performance computing workloads without capital investment. E2E Networks offers NVIDIA H200, H100, A100, L40S, and L4 GPUs on demand from India-based data centers. ### How much does GPU cloud cost in India? GPU cloud pricing in India starts from ₹49/hour for NVIDIA L4 GPUs at E2E Networks. NVIDIA H100 GPUs are available from ₹362/hour and the latest H200 GPUs from ₹436/hour. Monthly and annual commitments provide additional discounts of up to 40%. All pricing is in INR with no hidden fees or currency fluctuation risk. ### Which GPU is best for AI training? For large language model (LLM) training, NVIDIA H200 and H100 GPUs are optimal due to their high memory bandwidth (4.8 TB/s and 3.35 TB/s respectively) and 4th generation tensor cores. H200 offers 141GB HBM3e memory ideal for 70B+ parameter models. For smaller models and fine-tuning, A100 GPUs provide excellent price-to-performance. L40S is recommended for inference workloads. ### Can I rent GPUs by the hour? Yes, E2E Networks offers hourly GPU rental without any long-term commitments. You can deploy on-demand and pay only for the time you use. Simply sign up, launch your GPU instance, and scale up or down as needed. Monthly and yearly commitments are also available for additional discounts. ## Frequently asked questions — Comparison ### What is the difference between E2E GPU Cloud and AWS/Azure/GCP? E2E Networks GPU Cloud offers several advantages over hyperscalers: (1) India-based data centers ensuring data sovereignty and DPDP compliance, (2) Pricing in INR with no currency fluctuation risk, (3) Up to 70% lower costs than AWS/Azure/GCP, (4) Local 24/7 support in IST timezone, (5) MeitY empanelment for government projects, and (6) Faster deployment with no complex configuration required. ### Who are the GPU cloud providers in India? E2E Networks is India's leading GPU cloud provider with NSE listing (E2E) and MeitY empanelment. We offer the latest NVIDIA GPUs including H200, H100, A100, L40S, and L4 from data centers in Delhi NCR and Chennai. Other options include international providers like AWS, Azure, and GCP, but they typically host data outside India and charge in USD. ## Frequently asked questions — Technical ### How do I deploy AI models on GPU cloud? Deploying AI models on E2E GPU Cloud is straightforward: (1) Sign up at myaccount.e2enetworks.com, (2) Choose your GPU type (H200, H100, A100, etc.), (3) Select a pre-configured AI stack with PyTorch, TensorFlow, or vLLM pre-installed, (4) Launch your instance in under 60 seconds, (5) SSH into your instance and start training or inference. REST APIs are also available for programmatic deployment. ### How much GPU memory do I need for LLM training? GPU memory requirements depend on model size: 7B parameter models typically need 16-24GB (L4 or A100 40GB), 13B models need 40-48GB (A100 40GB or L40S), 30B+ models need 80GB (A100 80GB or H100), and 70B+ models benefit from H200's 141GB HBM3e memory. For distributed training across multiple GPUs, E2E offers NVLink-connected H100/H200 clusters. ### What AI frameworks are pre-installed? E2E GPU Cloud offers pre-configured AI stacks with popular frameworks including PyTorch, TensorFlow, JAX, and vLLM for inference. CUDA, cuDNN, and NVIDIA drivers are pre-installed and optimized. You can also start with a bare OS and install your custom stack. ## Related pages - [All GPU instances and specs](https://www.e2enetworks.com/gpus) - [Pricing (all SKUs)](https://www.e2enetworks.com/pricing) - [TIR AI/ML platform](https://www.e2enetworks.com/tir) - [Inference endpoints](https://www.e2enetworks.com/inference-endpoints) - [Training and fine-tuning](https://www.e2enetworks.com/training-fine-tuning) ## Get started Deploy NVIDIA GPUs in minutes. No credit card required to explore. Scale from a single GPU to thousands on demand. Pricing: https://www.e2enetworks.com/pricing · Talk to sales: https://www.e2enetworks.com/contact-sales - [Launch GPU Now](https://myaccount.e2enetworks.com/accounts/signup) - [Talk to Sales](https://www.e2enetworks.com/contact-sales) --- This Markdown is generated from the same data that renders https://www.e2enetworks.com/gpu-cloud. Provider: E2E Networks Limited (NSE: E2E), India. Site index for AI agents: https://www.e2enetworks.com/llms.txt