Accelerate in Seconds
Spin up H200 clusters instantly with global availability. Launch large-scale AI workloads without DevOps friction.
Cloud GPU Platform
H200 from ₹304.50/hr
NVIDIA H200 Cloud GPUs — Ultimate Acceleration for Next-Gen AI and HPC
Deploy high-performance GPU clusters instantly and train AI models faster than ever — with zero setup hassle. Experience lightning-fast throughput, secure enterprise-ready infrastructure, and pay-only-for-what-you-use pricing. Perfect for scaling LLMs, generative AI, and demanding HPC workloads without overspending.
NVIDIA H200 GPU Technical Specifications
VRAM
141 GB HBM3e Memory
Tensor Performance (FP8)
Up to 3,958 TFLOPS (SXM)
Compute Performance (FP64)
67 TFLOPS (Tensor Core)
Memory Bandwidth
4.8 TB/s
NVLink Interconnect
900 GB/s bidirectional
The foundation for faster, smarter AI acceleration
Performance, agility and predictable scale — without the DevOps drag.
HBM3e Memory Architecture
Experience 1.4× higher bandwidth than H100 for faster model training, fine-tuning, and inference workloads.
Next-Gen NVLink & NVSwitch
Unlock multi-GPU scaling with 900 GB/s bidirectional NVLink interconnect — ideal for trillion-parameter LLMs.
Why Businesses Choose Inhosted.ai for NVIDIA H200 GPUs
From large-scale AI model training to HPC simulations, enterprises choose Inhosted.ai for its unmatched reliability, data-sovereign infrastructure, and cloud performance.
Unmatched Memory Bandwidth
141 GB of HBM3e ensures faster data access and better throughput for massive model datasets.
Optimized for LLMs & GenAI
Train and fine-tune the latest generative models — from 70B+ to trillion-parameter LLMs — with superior efficiency.
Energy-Efficient Compute
Achieve more performance per watt with NVIDIA’s Hopper architecture, cutting operational costs while staying green.
Data-Sovereign Edge Infrastructure
Hosted inside NetForChoice’s Tier 3 data centers — built for compliance, security, and 99.95% uptime across all clusters.
Hopper Architecture
NVIDIA H200 GPU Servers, Built for Extreme Scale
Experience the next evolution of AI acceleration with H200 GPUs — engineered for large-scale model training, inference, and HPC workloads.Powered by HBM3e 141 GB memory and ultra-high 4.8 TB/s bandwidth, the H200 delivers up to 2.4× faster throughput than the previous generation.
You know the best part?
We operate our own data center
No middlemen. No shared footprints. End-to-end control of power, cooling, networking and security—so your AI workloads run faster, safer, and more predictably.
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Lower, predictable costs Direct rack ownership, power & cooling optimization, no reseller markups.
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Performance we can tune Network paths, storage tiers, and GPU clusters tuned for your workload.
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Security & compliance Private cages, strict access control, 24×7 monitoring, and audit-ready logs.
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Low-latency delivery Edge peering and smart routing for sub-ms hops to major ISPs.
99.99%Uptime SLA
Tier IIIDesign principles
Multi-100GBackbone links
24×7NOC & on-site ops
Breakthrough AI Performance
The NVIDIA H200 redefines performance for next-generation AI, delivering faster model training, lower latency, and superior efficiency across large-scale workloads.Built on the Hopper architecture with next-gen HBM3e memory and NVLink interconnect.
1.8×
Achieve lightning-fast pretraining and fine-tuning with 141 GB of HBM3e memory and 4.8 TB/s bandwidth.
1.6×
Deliver faster responses and higher throughput for GenAI and recommendation systems.
2.4×
Handle massive datasets effortlessly with next-generation HBM3e memory architecture.
1.7×
More performance per watt with optimized cooling and power distribution.
Top NVIDIA H200 GPU Server Use Cases
Where the NVIDIA H200 redefines performance boundaries — enabling faster AI innovation, deeper analytics, and high-efficiency compute across every domain.
AI Model Training
H200 servers deliver breakthrough speed for deep learning and LLM training, powered by HBM3e memory and 4.8 TB/s bandwidth. Train trillion-parameter models with higher accuracy, shorter epochs, and consistent scalability across distributed nodes.
Real-Time Data Analytics
Process petabytes of streaming data with minimal latency. H200’s enhanced throughput and memory bandwidth enable real-time anomaly detection, predictive insights, and automated decision-making at enterprise scale.
High-Performance Computing (HPC)
Perfect for large-scale scientific and simulation workloads. H200’s optimized NVLink and FP8 Tensor performance make it ideal for climate modeling, financial simulations, and advanced research with ultra-efficient compute density.
Natural Language Processing
Run high-throughput inference and fine-tune LLMs effortlessly. H200 accelerates training for massive language models, RAG pipelines, and multilingual AI systems with greater memory efficiency and faster token generation.
Computer Vision & Generative Media
From 3D diffusion to high-resolution rendering, H200 enhances image and video model performance. Its HBM3e bandwidth and FP8 precision allow for rapid content generation and realistic visual AI at scale.
Recommenders & Personalization
Boost engagement with faster ranking and embedding models. H200 enables real-time recommendations, optimizing CTR, retention, and personalization with massive dataset processing power.
Shaping the Future of AI Infrastructure — Together.
At inhosted.ai, we empower AI-driven businesses with enterprise-grade GPU infrastructure. From GenAI startups to Fortune 500 labs, our customers rely on us for consistent performance, scalability, and round-the-clock reliability. Here's what they say about working with us.
Join Our GPU Cloud
Rohan M.
★★★★★
✔ Verified Testimonial
“Upgrading to H200 GPUs on inhosted.ai has been a game-changer. Training throughput improved noticeably — our 70B-parameter model converged in nearly half the time. The HBM3e memory and bandwidth make all the difference.”
Sarah K.
★★★★★
✔ Verified Testimonial
“We manage large-scale video intelligence pipelines, and the H200’s speed is unreal. Processing latency dropped by 40%, and our batch jobs now finish overnight instead of over the weekend. The cluster orchestration is seamless.”
Mohit M.
★★★★★
✔ Verified Testimonial
“The new H200 GPUs are simply faster, cooler, and smarter. Power efficiency is outstanding — we’re getting higher performance per watt than any setup we’ve used before. And with inhosted.ai’s uptime, it feels like a local supercomputer.”
Julia P.
★★★★★
✔ Verified Testimonial
“We’re in biotech simulation — high-performance computing is our lifeline. The H200 nodes cut simulation runtimes by nearly 60%. Even during heavy parallel workloads, stability and bandwidth remained flawless.”
Harshit R.
★★★★★
✔ Verified Testimonial
“Our NLP division trains multi-lingual LLMs, and the H200 GPUs handled massive datasets effortlessly. The scaling flexibility, combined with predictable billing, made it easy for us to ramp up without worrying about runaway costs.”
Elena V.
★★★★★
✔ Verified Testimonial
“We’ve used multiple cloud GPU providers — none come close to the performance consistency we get with inhosted.ai’s H200 instances. Our recommendation models hit record inference speeds, and customer response times improved instantly.”
Julia P.
★★★★★
✔ Verified Testimonial
“We’re in biotech simulation — high-performance computing is our lifeline. The H200 nodes cut simulation runtimes by nearly 60%. Even during heavy parallel workloads, stability and bandwidth remained flawless.”
Harshit R.
★★★★★
✔ Verified Testimonial
“Our NLP division trains multi-lingual LLMs, and the H200 GPUs handled massive datasets effortlessly. The scaling flexibility, combined with predictable billing, made it easy for us to ramp up without worrying about runaway costs.”
Elena V.
★★★★★
✔ Verified Testimonial
“We’ve used multiple cloud GPU providers — none come close to the performance consistency we get with inhosted.ai’s H200 instances. Our recommendation models hit record inference speeds, and customer response times improved instantly.”
Rohan M.
★★★★★
✔ Verified Testimonial
“Upgrading to H200 GPUs on inhosted.ai has been a game-changer. Training throughput improved noticeably — our 70B-parameter model converged in nearly half the time. The HBM3e memory and bandwidth make all the difference.”
Sarah K.
★★★★★
✔ Verified Testimonial
“We manage large-scale video intelligence pipelines, and the H200’s speed is unreal. Processing latency dropped by 40%, and our batch jobs now finish overnight instead of over the weekend. The cluster orchestration is seamless.”
Mohit M.
★★★★★
✔ Verified Testimonial
“The new H200 GPUs are simply faster, cooler, and smarter. Power efficiency is outstanding — we’re getting higher performance per watt than any setup we’ve used before. And with inhosted.ai’s uptime, it feels like a local supercomputer.”
Frequently Asked Questions
What is the NVIDIA H200 GPU?
The NVIDIA H200 GPU is the next-generation accelerator built on the Hopper architecture. It features HBM3e 141 GB memory with 4.8 TB/s bandwidth, delivering up to 2.4× faster throughput than the H100 for large-scale AI training, inference, and HPC workloads.
How is the H200 different from the H100 GPU?
The H200 offers a significant upgrade with HBM3e memory (vs HBM3), higher bandwidth, and improved power efficiency. These enhancements enable faster large-language-model training, better inference performance, and superior scaling for distributed GPU clusters.
Can H200 GPUs be deployed in multi-GPU or clustered environments?
Yes. The H200 fully supports NVLink and NVSwitch for seamless multi-GPU scaling. This allows large clusters to act as a unified compute fabric, ideal for distributed AI training and HPC workloads.
What memory configuration does H200 use?
Each H200 GPU is equipped with 141 GB of HBM3e memory and delivers 4.8 TB/s memory bandwidth, ensuring smooth handling of massive datasets and memory-intensive AI tasks.
Is the H200 energy-efficient for data centers?
Absolutely. The H200 uses smart power management and advanced cooling to provide better performance-per-watt. It enables enterprises to reduce TCO and energy costs without compromising on speed or scalability.
What operating systems and frameworks are supported?
NVIDIA H200 GPUs are compatible with all major AI and HPC frameworks including PyTorch, TensorFlow, JAX, and CUDA 12+, and support Linux distributions such as Ubuntu, Rocky Linux, and RHEL.
How can I get started with H200 GPUs on inhosted.ai?
You can launch H200 GPU instances in under a minute across global regions. Visit https://www.inhosted.ai/ to explore configurations, transparent pricing, and enterprise deployment options.