Innovation doesn’t stop and neither does your infrastructure. From training your foundational models to running complex simulations, enterprises require computational power to be up to date with their requirements. NVIDIA H100 is designed to provide performance, scalability, and efficiency necessary for today’s AI and HPC workloads.
80 GB HBM3 Memory
3958 TFLOPS
67 TFLOPS
3.35 TB/s
900 GB/s Bidirectional
Modern AI workloads are not only about compute resources. Teams need fast GPU memory, stable networking, scalable storage, and cloud-native platforms to deploy their workloads. With Inhosted.ai, businesses get access to enterprise H100 GPU server infrastructure designed for fast deployment, performance predictability, and cloud security.
Launch your NVIDIA H100 GPU resources fast for AI experimentation, modern AI training, temporary projects, and production workloads. With access to Inhosted.ai platform, you don't have to wait for hardware procurement and installation.
Larger AI projects require faster data access. Inhosted.ai support high-throughput storage access for LLM training, deep learning pipeline, data analytics, and inference tasks. It helps teams to reduce the delay while moving datasets.
Inhosted.ai support secure H100 GPU infrastructure with monitoring, access control, and compliance-focused operations. Backed by ISO 20000, 27017, 27018, SOC, PCI DSS, and 99.95% uptime SLA, it helps businesses scale sensitive AI workloads confidently.
No matter whether you are building your first AI model or already scaling your production, having right GPU environment enables your team to go ahead without being hampered by your infrastructure. Get rid of wasting time waiting for the model training and start moving it towards production.
Train your AI and deep learning models faster using advanced H100 GPU server featuring powerful tensor cores and high bandwidth memory. Reduce training time, process your data sets better, and train AI models with confidence and speed.
No matter if you need to train RAG pipeline or fine-tuning your diffusion models – our infrastructure is built for today’s most advanced generative AI workloads. Benefit from reliable performance, high throughput, and enough memory capacity.
Secure your AI workloads with the security of enterprise-grade security infrastructure tailored for your business. With access controls, isolated environments, and layered protection, our GPU infrastructure enables your teams to create, train, and deploy AI solutions safely and reliably while preserving data integrity and compliance.
Regardless of whether you plan to start your project with one GPU or expand your infrastructure to multiple GPUs, our flexible GPU infrastructure will scale with your needs. No costs and no complications of buying, deploying, and managing physical GPU hardware.
As artificial intelligence models become bigger and more advanced, businesses require a solution that will be able to meet increasing demands. Our H100 GPU India solutions offer the necessary performance, flexibility, and reliability to support AI training, large language models, data analytics, and HPC workloads through the cutting-edge NVIDIA H100 architecture. Whether you are looking to evaluate the NVIDIA H100 price or a flexible enterprises GPU solution, Inhosted.ai provides immediate access to high-performance computing capabilities without investing in any hardware.
Confidence in technology means using robust infrastructure that can guarantee consistent performance whenever it is required. Built to deliver reliable and efficient AI workloads, H100 GPU solutions can allow enterprises to innovate while staying efficient.
NVIDIA H100 comes with impressive performance boosts for deep learning, AI training and inference, and high-performance computing (HPC). H100 is especially powerful when working with large language models, recommendation engines, computer vision, science computing, or data analytics.
Quickened Large Language Model Training.
GenAI Higher Inference throughput.
Fast-tracked Data Processing and Recommendations.
Better Energy efficiency per gpu node.
With the growing importance of enterprise AI and scientific research today, the most demanding workloads need extraordinary compute capabilities. The NVIDIA H100 GPU provides enterprises with the necessary computing power to analyze large volumes of data, develop models, and produce real-time insights for next-gen AI and HPC solutions.
Faster model training with shortened development timeframes and increased dataset size for more efficient work with neural networks.
Turning huge flows of data into valuable insights with low latency in order to implement such use cases as fraud detection, predictive analytics, business intelligence, and other real-time decisions.
Complex simulations, scientific calculations, engineering analysis, and computation modeling powered by high performance to solve big problems quickly.
Training, fine-tuning, and implementation of such LLMs, AI assistants, enterprise search, translations, text classifications, and RAG applications as fast and accurately as possible.
Accelerate your AI development with high memory bandwidth and parallel computing capabilities for advanced image recognition, object detection, video analytics, diffusion models, and generative AI solutions.
Create an exceptional personalized customer experience through intelligent recommendations, smart search, advertisements, and high-throughput inference.
The right infrastructure can make the difference between slow progress and faster innovation. While many organizations compare the H100 price in India, H100 GPU price USD, and different H100 GPU buy options, the real advantage lies in choosing a solution that delivers enterprise performance without the cost and complexity of owning GPU hardware
Access powerful H100 GPU cloud resources for AI training, production inference, data analytics, scientific research, and enterprise applications, all backed by the performance, scalability, and reliability modern AI workloads demand.
Join Our GPU Cloud
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
“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.”
Pricing depends on the deployment model, configuration, and business requirements. Instead of investing in expensive hardware, you can access enterprise-grade GPU resources through flexible cloud plans that reduce upfront costs while providing the computing power your AI workloads require.
The maximum GPU size varies by model and manufacturer. The H100 GPU size is designed for enterprise server environments, offering high-density computing power while fitting into compatible data center infrastructure built for AI and HPC workloads.
The NVIDIA A100 is available in different memory capacities, while H100 GPU GB configurations offer even larger memory options to support AI training, large language models, and high-performance computing workloads.
Yes. Businesses in India can access enterprise-grade H100 GPU infrastructure through Inhosted.ai without purchasing dedicated hardware. Our cloud platform is designed to support AI training, inference, data analytics, and HPC workloads with the performance, reliability, and flexibility modern organizations require.
You can purchase dedicated hardware through authorized NVIDIA partners or choose a more flexible cloud-based approach with Inhosted.ai. Our enterprise-ready H100 GPU platform gives you instant access to powerful computing resources, eliminating the upfront investment and operational complexity of managing physical GPU servers.
