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Cloud GPU Platform
H100 from ₹249.00/hr
NVIDIA H100 Cloud GPUs — Elite Performance for AI at Scale
The NVIDIA H100 brings elite performance to enterprise AI — enabling faster training, ultra-low-latency inference, and effortless scaling for LLMs and GenAI workloads. Designed for production environments with 99.95% uptime, secure infrastructure, and transparent pricing, it’s the ideal choice for pushing large-scale AI into deployment.
NVIDIA H100 GPU Technical Specifications
VRAM
80 GB HBM3 Memory
Tensor Performance (FP8)
3958 TFLOPS
Compute Performance (FP64)
67 TFLOPS
Memory Bandwidth
3.35 TB/s
NVLink Interconnect
900 GB/s Bidirectional
The foundation for faster, smarter AI deployment
Performance, agility and predictable scale — without the DevOps drag.
High-Throughput File System
Distributed I/O tuned for LLM training & high-QPS inference with zero hot-spots.
Enterprise Compliance
ISO 20000, 27017, 27018, SOC, PCI DSS — all backed by a 99.95% uptime SLA.
Why Businesses Choose Inhosted.ai for NVIDIA H100 GPUs
From model training to real-time inference, enterprises trust Inhosted.ai to deliver the raw power of NVIDIA H100 GPUs — optimized for scalability, security, and seamless deployment.
Unmatched Training Speed
Train billion-parameter LLMs 3× faster using H100’s FP8 Tensor Cores and NVLink fabric. Scale horizontally without latency or bottlenecks.
Optimized for GenAI model
Fine-tune generative AI models, diffusion frameworks, or RAG pipelines with precision. Enjoy adaptive workload balancing on every instance.
Enterprise-Grade Security
Each GPU node runs inside an ISO 27001 & SOC certified environment — ensuring data isolation, encryption, and compliance-ready architecture.
Global Edge Infrastructure
Deploy your H100 clusters across multiple low-latency regions with automated scaling. Always-on reliability backed by a 99.95% uptime SLA.
Hopper Architecture
NVIDIA H100 GPU Servers, Built for Scale
Run state-of-the-art AI with H100—delivering FP8/FP16 acceleration, ultra-fast HBM3 memory, and NVLink fabric for multi-GPU efficiency. Intelligent power management and cooling reduce energy draw while maximizing throughput, helping you cut operating costs without sacrificing performance.
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.
99.95%Uptime SLA
Tier IIIDesign principles
Multi-100GBackbone links
24×7NOC & on-site ops
Breakthrough AI Performance
The NVIDIA H100 sets new performance benchmarks in deep learning, accelerating training and inference for today’s most demanding AI and HPC workloads. Experience next-level scalability, power efficiency, and intelligent throughput with Transformer Engine innovation.
4×
Faster Large Language Model Training
3×
Higher Inference Throughput for GenAI
5×
Accelerated Data Analytics & Recommendations
2×
Improved Energy Efficiency per GPU Node
Top NVIDIA H100 GPU Server Use Cases
Where the NVIDIA H100 transforms workloads into breakthroughs — from LLM training to scientific computing, accelerating results that redefine performance limits.
AI Model Training
H100 servers accelerate deep learning training dramatically, shrinking iteration cycles for large datasets and complex architectures. Teams reach higher accuracy faster, enabling quicker model experimentation and convergence.
Real-Time Data Analytics
Stream and process massive event volumes with low latency. H100’s throughput enables instant insights for dashboards, anomaly detection, and decisions that keep operations running at peak efficiency.
High-Performance Computing (HPC)
Ideal for large-scale simulations and scientific workloads, H100’s parallelism unlocks complex compute at speed. Researchers explore bigger problem spaces and iterate more frequently with the same budget.
Natural Language Processing
Power LLM training, fine-tuning, and large-scale inference. H100’s architecture improves throughput and accuracy for translation, classification, RAG pipelines, and conversational AI.
Computer Vision & Generative Media
From detection to diffusion, H100 accelerates image/video understanding and creation. Teams ship higher-quality vision models and generative content with lower latency and predictable scaling.
Recommenders & Personalization
Train and serve large recommender systems faster. H100 boosts embedding operations and ranking pipelines, improving CTR, retention, and on-site experience with real-time personalization.
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
“Our transition to inhosted.ai’s H100 GPU servers was smoother than expected. Model training that took 18 hours on A100 now completes in under 6. The support team helped fine-tune the cluster setup — truly enterprise-grade service.”
Emily S.
★★★★★
✔ Verified Testimonial
“We train high-parameter LLMs for enterprise search. The H100 nodes on inhosted.ai deliver consistent throughput and excellent latency. Uptime has been flawless, and scaling from 8 to 64 GPUs was completely seamless.”
Vikram T.
★★★★★
✔ Verified Testimonial
“The billing transparency is a breath of fresh air. We always know what we’re paying for. Performance on H100 has been top-tier, and the infrastructure stability gives us peace of mind during production inference.”
Sophia S.
★★★★★
✔ Verified Testimonial
“We use H100 GPUs for video generation and diffusion workloads. The low-latency file system and predictable scaling made a huge difference. inhosted.ai feels like it’s built for developers, not just data centers.”
Aditya R.
★★★★★
✔ Verified Testimonial
“The combination of H100 performance and inhosted.ai’s monitoring dashboard helped us track GPU utilization in real-time. It’s reliable, flexible, and ideal for both research and production-grade AI.”
Leena G.
★★★★★
✔ Verified Testimonial
“We migrated our deep learning pipelines to inhosted.ai’s H100 clusters, and the difference was night and day. Training times dropped, costs stayed stable, and the support team was extremely proactive throughout deployment.”
Sophia S.
★★★★★
✔ Verified Testimonial
“We use H100 GPUs for video generation and diffusion workloads. The low-latency file system and predictable scaling made a huge difference. inhosted.ai feels like it’s built for developers, not just data centers.”
Aditya R.
★★★★★
✔ Verified Testimonial
“The combination of H100 performance and inhosted.ai’s monitoring dashboard helped us track GPU utilization in real-time. It’s reliable, flexible, and ideal for both research and production-grade AI.”
Leena G.
★★★★★
✔ Verified Testimonial
“We migrated our deep learning pipelines to inhosted.ai’s H100 clusters, and the difference was night and day. Training times dropped, costs stayed stable, and the support team was extremely proactive throughout deployment.”
Rohan M.
★★★★★
✔ Verified Testimonial
“Our transition to inhosted.ai’s H100 GPU servers was smoother than expected. Model training that took 18 hours on A100 now completes in under 6. The support team helped fine-tune the cluster setup — truly enterprise-grade service.”
Emily S.
★★★★★
✔ Verified Testimonial
“We train high-parameter LLMs for enterprise search. The H100 nodes on inhosted.ai deliver consistent throughput and excellent latency. Uptime has been flawless, and scaling from 8 to 64 GPUs was completely seamless.”
Vikram T.
★★★★★
✔ Verified Testimonial
“The billing transparency is a breath of fresh air. We always know what we’re paying for. Performance on H100 has been top-tier, and the infrastructure stability gives us peace of mind during production inference.”
Frequently Asked Questions
What is the NVIDIA H100 GPU?
The NVIDIA H100 GPU is a high-performance accelerator built on the Hopper architecture, designed for large-scale AI, data analytics, and high-performance computing (HPC). It features HBM3 memory, NVLink interconnect, and advanced Tensor Cores for unmatched speed and scalability.
What makes the H100 GPU ideal for AI workloads?
H100 GPUs deliver up to 6× higher AI training performance and 3× faster inference throughput compared to the previous generation. They’re purpose-built for LLMs, GenAI, and high-throughput inference — offering exceptional efficiency in both compute and memory bandwidth.
How much memory does the H100 have?
Each H100 GPU comes with 80 GB of HBM3 memory and 3.35 TB/s memory bandwidth, enabling rapid data access for memory-intensive AI workloads.
Can the H100 be used for distributed GPU clusters?
Yes. The H100 supports NVLink and NVSwitch, allowing multi-GPU communication with up to 900 GB/s interconnect speed, making it ideal for massive distributed AI training and HPC clusters.
Is the H100 energy-efficient?
Yes, the H100 is engineered for maximum performance per watt, thanks to its advanced cooling, power optimization, and intelligent workload scheduling — helping reduce operational costs while maintaining top-tier performance.
What frameworks and OS are supported on H100 GPUs?
The H100 supports major AI and HPC frameworks such as TensorFlow, PyTorch, JAX, and CUDA 12+, and works with leading Linux distributions like Ubuntu, RHEL, and Rocky Linux.
How can I deploy H100 GPU instances with inhosted.ai?
You can launch NVIDIA H100 clusters in under a minute across global regions. inhosted.ai offers transparent pricing, enterprise-grade SLAs, and 99.95% uptime for H100 GPU deployments.