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NVIDIA H200 GPU Cloud

Now in Mumbai

Train, fine-tune and serve next-gen LLMs with 141 GB HBM3e, ultra-low latency and
India-local data residency. Powered by Cloudpe & Leapswitch.

₹300/hour – 1× NVIDIA H200, 16 vCPU, 128 GB RAM, 250 GB NVMe

Mumbai Tier-4 DC – low- latency to Indian users & data residency

Bare-metal or Cloud VMs – up to 8× H200 per node

Full GPU catalog – A100, L4, L40S, H200 available today

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Talk to a GPU Specialist

Ready to supercharge your AI workloads? Our GPU specialists will help you find the right configuration for your needs.

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Built for Massive LLMs

Long Context & High-Throughput Inference. The H200 is the upgrade your AI workloads need.

141 GB

HBM3e Memory

First GPU with this capacity, ideal for large models and long context windows

4.8 TB/s

Memory Bandwidth

~43% higher bandwidth than H100, enabling larger batch sizes and faster throughput

1.9×

Faster Than H100

On large language models, thanks to the HBM3e upgrade

2.3×

Lower Latency vs A100

Time-to-first-token drops from 48ms to 21ms for instant responses

Why Upgrade to H200?

The NVIDIA H200 is an upgrade to the Hopper-based H100, with the same compute architecture but a dramatic jump in memory and bandwidth. That’s exactly what today’s giant LLMs and context-heavy workloads need.

For AI Founders

If A100 is ‘good enough’, H200 is the GPU you pick when you never want to think about context length, KV cache, or batch size constraints again.

Simple, Transparent Pricing

H200 Pricing in India. No hidden fees.

On-Demand

H200 – Mumbai

₹300

/ hour

Memory

1× NVIDIA H200 Tensor
Core GPU

vCPU

16 vCPU

Memory

128 GB RAM

Storage

250 GB NVMe

(customizable)

Pricing Calculator

Estimate your H200 GPU costs

Base Rate ₹300/hour
Hours 100
Subtotal ₹30,000
Total Estimated Cost ₹22,500

Enterprise Grade

Dedicated 8× H200

Bare-Metal

For customers who want full control of the node (Kubernetes, custom
schedulers, on-prem-like experience in the cloud), we provide dedicated bare-metal servers with 8× NVIDIA H200 in our Mumbai datacenter.

Ideal for:

  • Model training & fine-tuning at scale
  • Multi-tenant inference clusters for AI SaaS
  • Hybrid setups with your own orchestrator

8× NVIDIA H200 GPUs

NVLink topology as per NVIDIA reference platform

Up to 2 TB System RAM

High-core-count CPUs for
maximum performance

Multiple NVMe SSDs

Optional high-throughput and replicated storage

Full Control

Kubernetes, Slurm, Ray, or custom schedulers

Choose the Right GPU

Compare our full NVIDIA GPU lineup. H200 tops the stack for memory-intensive LLMs.

GPU Architecture VRAM & Type Bandwidth Best For
H200 Hopper 141 GB HBM3e ~4.8 TB/s Massive LLMs, long context, high-TPS inference
H100 Hopper 80 GB HBM3 ~3.35 TB/s Large models, mixed training + inference
A100 Ampere 80 GB HBM2e ~2.0 TB/s Classic training & inference, cost-sensitive
L40S Ada 48 GB GDDR6 ~864 GB/s High-throughput inference, vision + graphics
L4 Ada 24 GB GDDR6 ~300 GB/s Video analytics, edge inference, lighter LLMs

Pick H200

When memory & throughput are your bottlenecks – large LLMs, long context RAG, multi-tenant inference APIs.

Pick L40S / L4

For GPU-accelerated SaaS: image/video, generative media, classical ML and smaller models.

Real-World Performance

What H200 actually changes for your LLMs. Benchmark-backed claims you can trust.

1.4–1.9×

Faster vs H100

On GPT-like LLM inference with optimized TensorRT-LLM stacks

21ms

Time-to-First-Token

vs 29ms on H100 and 48ms on A100 – critical for conversational
agents

60%

Higher Throughput

Compared to H100 on large
transformer models

~50%

Power Savings

On LLM inference vs previous gen GPUs when scaled out

Fewer GPUs, same throughput

Many workloads that previously needed 2× H100 or 2–3× A100 can now be consolidated to a single H200, especially when long context windows and big KV caches are involved.

Who is H200 Perfect For?

From startups to enterprises, H200 powers the most demanding AI workloads.

AI Product Companies & SaaS

Fintech, BFSI & Analytics

Enterprises & System Integrators

Research & Academia

Why Cloudpe ?

H200 on our cloud vs global hyperscalers. Built for India, priced for scale.

India-Local Mumbai DC

Lower latency to Indian users and easier compliance with data-residency requirements.

Transparent Pricing

Flat ₹300/hr on-demand for 1× H200 with generous CPU/RAM – no confusing credit systems.

Full GPU Stack

Seamlessly move workloads between A100, L4, L40S and H200 on the same platform.

Partner-Friendly

MSPs, ISVs, and resellers get custom discounts
and co-marketing opportunities.

Human Support

Direct access to GPU & infra specialists in India
who understand AI workloads.

Zero to H200 in Under an Hour

Get started with the most powerful GPU in India. It’s that simple.

Create Your Account

Sign up for Cloudpe. Complete KYC & basic verification for credits or trial access.

Pick Your GPU Plan

Start with 1× H200 (₹300/hr) in Mumbai. Use PyTorch, TensorFlow, JAX, vLLM, TGI, or TensorRT-LLM.

Scale Up

Horizontally scale to multiple H200 instances, or move to a dedicated 8× H200 bare-metal node.

Ready to Get Started?

Let's Build Your AI Infrastructure

Whether you need a single H200 GPU or a full bare-metal cluster, our team is here to help you design the perfect solution for your AI workloads.

+91 91686 97395

sales@cloudpe.com

410, 4th Floor, Spectra Commercials, Paud Road, Pune – 411038 320, Wadala Udyog Bhavan, Wadala (W), Mumbai – 400031

Request a Demo

*By submitting, you agree to our privacy policy and terms of service.

Frequently Asked Questions

How is your H200 priced compared to other providers?

We offer ₹300/hour on-demand for 1× H200 + 16 vCPU + 128 GB RAM + 250 GB NVMe in our Mumbai datacenter. Comparable H200 instances on global clouds are typically priced in USD with additional network and storage charges. Our goal is to be India’s most cost-effective H200 platform without compromising on performance.

This is a staging environment