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“This blog covers the top 10 NVIDIA H100 GPU providers in India, featuring leading companies such as Cyfuture Cloud, E2E Networks, Yotta Infrastructure, Oracle Cloud Infrastructure (OCI), and IBM Cloud. It helps businesses compare these providers based on performance, scalability, and enterprise-grade AI infrastructure to choose the right solution.”
Finding the best NVIDIA H100 GPU providers in India can be challenging as demand for high-performance AI and HPC infrastructure continues to grow.
The NVIDIA H100 GPU, built on the Hopper architecture, is a powerful data center accelerator designed for large-scale AI, deep learning, and high-performance computing workloads, offering up to 80GB HBM3 memory, exceptional bandwidth exceeding 3TB/s, and advanced Tensor Cores that significantly outperform previous-generation GPUs like the A100 gpu.
However, accessing this level of performance at the right price, with reliable deployment and enterprise support, is not always easy. That’s where trusted NVIDIA H100 GPU providers in India come in, helping businesses leverage cutting-edge GPU infrastructure with expert guidance, competitive pricing, and seamless integration.
This blog highlights the top NVIDIA H100 GPU providers in India to help you choose the right partner for scaling your AI and data-intensive workloads.
Let’s get started!

To help you make an informed decision, we’ve compiled a list of the best NVIDIA H100 GPU providers in India. Let’s explore the top choices so you can find the best fit for your needs.

About the Company
Cyfuture Cloud is a leading Indian cloud and data center service provider with a strong enterprise footprint across BFSI, healthcare, government, and large enterprises. The company focuses on delivering secure, scalable, and high-performance cloud infrastructure, including advanced AI and HPC solutions powered by the NVIDIA H100 GPU. With data centers located in India, Cyfuture Cloud ensures low latency, data sovereignty compliance, and enterprise-grade reliability.
Pros

About the Company
E2E Networks is a well-known GPU cloud server provider in India, catering primarily to startups, AI researchers, and technology-driven organizations. The company specializes in cost-effective cloud GPU solutions and offers NVIDIA H100 GPU instances designed to accelerate AI training, inference, and high-performance computing workloads. E2E Networks focuses on ease of use, fast provisioning, and developer-friendly environments.
Pros

About the Company
Yotta Infrastructure is a major Indian data center and cloud services provider, best known for its Shakti Cloud platform. As one of the first companies in India to deploy NVIDIA H100 GPUs, Yotta delivers large-scale AI and HPC infrastructure tailored for enterprises and government organizations. Their focus on hyperscale infrastructure makes them a strong contender for high-demand workloads.
Pros

About the Company
NeevCloud is an emerging cloud service provider focused on affordable AI and GPU as a Service solutions. The company offers access to NVIDIA H100 GPU infrastructure through flexible pricing models, making advanced AI computing accessible to a broader range of businesses. NeevCloud is particularly attractive for long-term AI projects and budget-conscious organizations.
Pros
About the Company
Server Store specializes in supplying enterprise-grade server hardware and GPUs for data centers in India. For organizations looking to own their infrastructure, Server Store provides NVIDIA H100 GPU solutions designed to handle demanding AI, deep learning, and scientific computing workloads. This option is ideal for businesses that prefer on-premise control over cloud-based GPU services.
Pros

About the Company
CoreWeave is a specialized GPU cloud provider with strong backing from NVIDIA, focusing exclusively on high-performance GPU workloads. The company offers scalable NVIDIA H100 GPU infrastructure optimized for AI, machine learning, and visual computing. CoreWeave is known for its flexibility and rapid scalability across demanding workloads.
Pros

About the Company
Oracle Cloud Infrastructure (OCI) is a global cloud provider offering enterprise-grade cloud services, including high-performance GPU instances powered by the NVIDIA H100 GPU. OCI focuses on delivering cost-effective, high-efficiency computing with strong integration across databases, analytics, and enterprise applications.
Pros

About the Company
IBM Cloud is a trusted global cloud provider known for its enterprise focus, security, and hybrid cloud capabilities. By offering NVIDIA H100 GPU access through its globally distributed data centers, IBM Cloud supports advanced AI, ML, and HPC workloads for large organizations and regulated industries.
Pros

About the Company
NVIDIA DGX Cloud is NVIDIA’s own cloud-based AI supercomputing platform, providing direct access to NVIDIA H100 GPUs. Designed for large-scale AI model training and deployment, DGX Cloud offers optimized software, multi-node scaling, and direct support from NVIDIA experts.
Pros

About the Company
Neysa.ai provides GPU-as-a-Service solutions aimed at startups, AI teams, and growing businesses. With flexible rental options for NVIDIA H100 GPUs, Neysa.ai enables organizations to access high-performance AI infrastructure without long-term commitments.
Pros

Selecting the best NVIDIA H100 GPU provider in India requires careful consideration, but making the right choice can significantly impact your AI, deep learning, and high-performance computing projects. A reliable provider will ensure seamless access to cutting-edge hardware, competitive pricing, and expert support.
Read also : What is the NVIDIA H100 GPU?
Keep in mind that every business has unique requirements—whether you need cloud-based GPU access, dedicated infrastructure, or flexible rental options, it’s essential to choose a provider that aligns with your workload and budget.
We hope this guide helps you find the perfect NVIDIA H100 GPU provider to power your innovation and growth!
|
Feature |
NVIDIA H100 GPU |
NVIDIA H200 GPU |
|
Architecture |
Hopper |
Hopper (Next-gen variant) |
|
Primary Use Case |
AI training, inference, HPC |
Large-scale AI, LLMs, memory-intensive workloads |
|
Memory Type |
HBM3 |
HBM3e (Enhanced) |
|
Maximum Memory |
Up to 80GB |
Up to 141GB |
|
Memory Bandwidth |
~3 TB/s |
4.8 TB/s+ (significantly higher) |
|
Tensor Cores |
4th-Gen Tensor Cores |
4th-Gen Tensor Cores (optimized for LLMs) |
|
LLM Performance |
Excellent |
Superior for large language models |
|
Multi-Instance GPU (MIG) |
Supported |
Supported |
|
NVLink |
High-speed NVLink |
Enhanced NVLink for better scaling |
|
Form Factors |
PCIe & SXM |
SXM (primarily) |
|
Target Customers |
AI startups, enterprises, cloud providers |
Hyperscalers, advanced AI research, Gen-AI workloads |
|
Performance Upgrade |
— |
Memory-focused performance boost over H100 gpu |
The NVIDIA H100 GPU, based on the Hopper architecture, is designed for AI, deep learning, and high-performance computing, offering massive speed and efficiency improvements over previous generations.
You can purchase or rent NVIDIA H100 GPUs from providers like Cyfuture Cloud, Yotta Infrastructure, E2E Networks, and NeevCloud.
Prices vary depending on the provider and configuration. Cloud rentals can start from $1.69 per hour, while physical GPUs can cost several thousand dollars.
Yes, the H100 is optimized for AI and ML workloads, featuring Tensor Cores and Transformer Engine technology for faster model training and inference.
The H100 has a power consumption of around 700W, making it a high-performance but power-intensive GPU.
No, the H100 is designed for enterprise AI, deep learning, and data center workloads, not gaming or consumer applications.
Yes. Cyfuture Cloud offers NVIDIA H100 GPU servers and cloud GPU access through its India-based data centers.
The H100 GPU provides up to 80GB of HBM3 memory, making it suitable for large and memory-intensive AI models.
Pricing varies based on configuration and deployment model. Cyfuture Cloud offers flexible cloud pricing and dedicated server options to suit different budgets.
The H100 GPU is costly due to its advanced Hopper architecture, high-bandwidth memory, and optimization for enterprise AI workloads.
No. The NVIDIA H100 GPU is designed for data centers and AI workloads, not consumer gaming.
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