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.
Built for Massive LLMs
Long Context & High-Throughput Inference. The H200 is the upgrade your AI workloads need.
GPU Memory
141 GB HBM3e
Memory Bandwidth
4.8 TB/s
Architecture
Hopper
CUDA Cores
16,896
Tensor Cores
528 (4th Gen)
Inference Throughput
60% Higher vs H100
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 and fine-tuning open-source LLMs & VLMs. Large-scale simulation and HPC. Scientific computing at scale.
Pricing Calculator
Estimate your H200 GPU costs. No hidden fees.
Mumbai Tier-4 Datacenter · Monthly & yearly commitments available · Custom storage & network configurations
Frequently Asked Questions
CloudPe offers competitive pricing for H200 GPU instances with flexible usage options.
Yes. CloudPe provides both on-demand and reserved pricing for long-term workloads.
Yes. CloudPe supports multi-GPU configurations for large AI training workloads.
Yes. Different GPU types can be deployed depending on your infrastructure needs.
H200 availability may vary by region as CloudPe expands GPU capacity across data centers.
The H200 is ideal for large-scale AI training, deep learning, HPC workloads, and large language models.