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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
Get in Touch
Talk to a GPU Specialist
Ready to supercharge your AI workloads? Our GPU specialists will help you find the right configuration for your needs.
- +919168697395
- sales@cloudpe.com
- Mumbai, India
Request a Demo
*By submitting, you agree to our privacy policy and terms of service.
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.
- Same Hopper Tensor Cores and Transformer Engine as H100
- Up to 60% higher inference throughput vs H100 on large transformers
- Memory-bound workloads get a significant performance boost
- Future-proof for next-gen LLMs with 100K+ context windows
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)
- Custom storage & network configurations
- Partner & reseller discount programs
- 24/7 GPU specialist support
- Monthly and reserved pricing available
- Mumbai Tier-4 Datacenter
Pricing Calculator
Estimate your H200 GPU costs
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×
On GPT-like LLM inference with optimized TensorRT-LLM stacks
21ms
vs 29ms on H100 and 48ms on A100 – critical for conversational
agents
60%
Compared to H100 on large
transformer models
~50%
On LLM inference vs previous gen GPUs when scaled out
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
- Multi-tenant LLM APIs with strict latency SLOs
- Chatbots, copilots, and agents with 100k+ token context
- RAG over large vector stores
Fintech, BFSI & Analytics
- Real-time risk engines and fraud detection
- High-throughput inference over financial documents
- Compliance-sensitive workloads needing India data residency
Enterprises & System Integrators
- Private LLMs on internal data (HR, legal, sales)
- Hybrid deployments mixing on-prem + cloud GPUs
- AI transformation PoCs where performance is non-negotiable
Research & Academia
- Training / fine-tuning open-source LLMs & VLMs
- Large-scale simulation and HPC
- Scientific computing at scale
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.
Can I get reserved or monthly pricing?
Yes. For steady workloads (training pipelines, always-on inference), we provide reserved and monthly pricing and partner discounts. Contact our sales team for a custom quote.
Do you support multi-GPU setups (2×, 4×, 8× H200)?
Yes. You can launch multiple H200-backed VMs and orchestrate via your stack, or take a dedicated 8× H200 bare-metal node for maximum control.
Can I mix different GPU types?
Absolutely. On Cloudpe, you can run workloads on A100, L4, L40S and H200 simultaneously – for example, training on A100/H100-class GPUs and serving on H200 or L40S/L4 for cost optimisation.
Is H200 only available in Mumbai?
Right now, H200 is launched in our Mumbai datacenter, with connectivity to the rest of our Cloudpe regions. Additional regions can be added based on demand.