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Rent GPU Server for LLM in India

Get powerful dedicated, and Cloud GPU for LLM resource, ready to deploy and scale. We provide 24/7 professional assistance and the best GPU for LLM training in India.

  • High‑speed NVIDIA GPUs
  • On-demand deployment and setup
  • 99.97% uptime guarantee
  • 24/7 tech support available
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Rated 4.7 out of 5 stars on Trustpilot.
Rent GPU Server for LLM in India | Cantech
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Plans and Pricing to Rent GPU for LLM in India

Find the right GPU for LLM projects with our scalable plans. Select a Virtual Dedicated Server (VDS) to get a simple start, or a complete Dedicated GPU Server to get the full power. We also have an AI Platform that has ready-to-use models.

Nvidia A2
Nvidia RTXA5000
Nvidia RTX4090
Nvidia RTXA6000ADA
Nvidia L40S
Nvidia H100
Nvidia H200
Nvidia A100
1xH100
  • 80 GBGPU Memory
  • 24vCPU
  • 256 GBRAM
  • 1000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
2xH100
  • 160 GBGPU Memory
  • 48vCPU
  • 512 GBRAM
  • 2000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
4xH100
  • 320 GBGPU Memory
  • 64vCPU
  • 768 GBRAM
  • 3000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
8xH100
  • 640 GBGPU Memory
  • 96vCPU
  • 1000 GBRAM
  • 5000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
1xH200
  • 141 GBGPU Memory
  • 30vCPU
  • 375 GBRAM
  • 3000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
2xH200
  • 282 GBGPU Memory
  • 60vCPU
  • 750 GBRAM
  • 7000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
4xH200
  • 564 GBGPU Memory
  • 120vCPU
  • 1500 GBRAM
  • 15000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
8xH200
  • 1128 GBGPU Memory
  • 240vCPU
  • 3000 GBRAM
  • 30000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
A2 GPU
  • 16 GBGPU Memory
  • 8vCPU
  • 16 GBRAM
  • 200 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
19,500
/mo
Chat Now
RTX A5000 GPU
  • 24 GBGPU Memory
  • 8vCPU
  • 32 GBRAM
  • 400 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
24,800
/mo
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RTX 4090 GPU
  • 24 GBGPU Memory
  • 4vCPU
  • 32 GBRAM
  • 200 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
52,000
/mo
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RTX 6000 Ada
  • 48 GBGPU Memory
  • 8vCPU
  • 64 GBRAM
  • 300 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
1,33,800
/mo
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L40s GPU
  • 48 GBGPU Memory
  • 16vCPU
  • 48 GBRAM
  • 600 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
1,94,000
/mo
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1xA100
  • 80 GBGPU Memory
  • 24vCPU
  • 256 GBRAM
  • 1000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
2xA100
  • 160 GBGPU Memory
  • 48vCPU
  • 512 GBRAM
  • 2000 GBStorage
  • 5 TBBandwidth
  • LinuxPlatform
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Rent GPU for LLM, Which is Backed by NVIDIA

These NVIDIA cards are the world standard for training and running Large Language Models. Get the latest architecture, massive VRAM, and Tensor Cores. Run your LLM project with reliable hardware from a trusted provider.

NVIDIA Rent GPU for LLM | Cantech

Why Rent GPU for LLM Training in India?

Training times of massive LLMs on our GPUs accelerate significantly. All our GPU servers are of the highest standards. You have access to low-latency, which enhances your development process and response times. You get quality performance with every machine you rent GPU for LLM. We guarantee you the best GPU for LLM for your important research on LLM.

Do Not Invest Huge Capital

The purchase of the best GPU hardware is expensive. The machine is affordable and easy to use, as we have reliable plans to only use it when you need it. This frees up your capital for core research and development activities.

Quick Access to Latest Hardware

Technology changes fast. Owning a server means that your hardware becomes old very soon. When you rent GPU for LLM, you can instantly run the latest NVIDIA GPUs, such as H100 and RTX 4090.

Scale Resources Instantly

Your LLM training requirements change with time. One GPU may be required to test, and eight to train the final model. Renting allows you to upscale or downscale immediately when your project requires it.

Zero Hardware Maintenance

High-performance graphics card servers need 24/7 maintenance, cooling, and power control. We handle all the hardware maintenance on your behalf.

Deploy Cloud GPU for LLM Fast

Setting up a local GPU environment for LLM is time-consuming and complicated. Our pre-configured instances enable you to begin training within minutes.

High Security and Data Control

Our secure Indian data centers ensure your sensitive data remains safe. You have complete control with root access to your GPU instance. Your LLM models and datasets are secured by multiple layers of security.

Optimised for Local Low Latency

Our data centers located in India provide users in India with extremely low latency. This is essential to real-time applications and easy remote access. Experience high data transfer speeds and high responsiveness.

Rent GPU for LLM Training in India | Cantech

World-Class Tier 3 & Tier 4 Data Center

Our GPU servers are hosted in reliable Tier 3 and Tier 4 data centers in India. These centers have redundant power, cooling, and network, which will provide you with the most availability of mission-critical LLM training.

Yotta NM1, Mumbai | Cantech
Yotta NM1, Mumbai
  • State-of-the-Art Tier 4 Datacenters.
  • Space available for 7200 racks.
  • Expansive 24 Acres of Datacenter space.
  • Up to 10 Gbps Network Speed.
  • Robust 50 MW Power Capacity.
  • Unmatched Security Standards.
  • Comprehensive DDoS Protection.
  •  
LNT NMP-1, Mumbai | Cantech
LNT NMP-1, Mumbai
  • State-of-the-Art Tier 3 Datacenters.
  • Space available for 285 racks.
  • Expansive 15,000 sq.ft. of Datacenter space.
  • Up to 10 Gbps Network Speed.
  • Robust 2 MW Power Capacity.
  • Full SSH Root Access.
  • Unmatched Security Standards.
  • Comprehensive DDoS Protection.

Find Your Powerful Server with Dedicated Resources

Select Your Best-Priced Dedicated Server Plan.

3,999
/Mo
Find Your Powerful Server with Dedicated Resources | Cantech

Why Choose to Rent GPU for LLM from Us?

We offer a combination of the best NVIDIA GPUs and the most trusted compute resources in India. We deliver the ideal platform to train the best GPU for LLM projects.

24/7 Technical Support | Cantech

24/7 Technical Support

We offer 24/7 fast and knowledgeable support for all technical inquiries. You can get assistance immediately whenever you have any problems.

Fully Customisable Configurations | Cantech

Fully Customisable Configurations

Customize your server to exactly match your requirements in terms of GPU, CPU, RAM, and storage. Pay for the resources that you really use. A perfect configuration for training your specific Large Language Model.

99.97% Uptime | Cantech

99.97% Uptime

We guarantee a 99.97% uptime in the industry. Our redundant infrastructure ensures that your LLM training does not get interrupted. The critical AI workloads are continuously and reliably running.

Server Monitoring | Cantech

Server Monitoring

We are continuously checking on the health and performance of your server. We are proactive in addressing the possible problems before they can interfere with your work. This ensures your optimal experience with your Cloud GPU for LLM.

Secure & Encrypted Data Storage | Cantech

Secure & Encrypted Data Storage

Your data is stored in high-speed NVMe SSDs and has heavy security measures. Your LLM code and datasets are secure in advanced encryption.

Multiple GPU Options | Cantech

Multiple GPU Options

Our products include various NVIDIA GPUs: H100, A100, RTX 4090, and others. Discover the best GPU for LLM at the correct cost for your task.

Performance Optimised | Cantech

Performance Optimised

Our GPU servers are optimized to perform high-intensity AI and machine learning. Multi-GPU training can be effectively done with high-speed interconnects such as NVLink.

Built‑in Security Standards | Cantech

Built‑in Security Standards

Our infrastructure meets high global and local security standards. We secure your instances against network attacks and unauthorized access, providing you with a completely secure environment.

Total Root Access & Control | Cantech

Total Root Access & Control

You are given complete access to your rented GPU server as an administrator. Add any operating system, framework, or custom software that you need. You have total control of your environment.

Rent GPU Servers: Key Use Cases

The computing power that you receive when you rent GPU for LLM is versatile. It speeds up all the stages of your Large Language Model lifecycle. Access to the best GPU for LLM technology allows for advanced research.

LLM Fine-Tuning and Training

High-end GPUs such as the H100 are used in the foundational training of new language models. They handle the massive data and complicated calculations. Smaller GPUs, such as the RTX series, are excellent for quick fine-tuning of existing models.

Running LLM Inference

To deploy your trained model in production, you need high compute. Our dedicated GPU servers provide low-latency services, with real-time prediction to thousands of clients concurrently.

Designing and Testing New LLM Architectures

Researchers need a flexible platform that enables them to prototype and test new ideas within a short period of time. Renting also allows them to spin up environments quickly, allowing them to test different model sizes and algorithms without hardware constraints.

Local LLM Deployment and Experimentation

You are able to run a GPU for local LLM inference and fine-tuning experiments securely. It provides the benefit of having your proprietary data completely isolated on your server, and thus provides you with maximum control and privacy.

Need More Flexibility Than an LLM GPU Rental?

Discover a scalable dedicated server and GPU used in the demanding AI and ML workloads. A basic A100 GPU can be used to begin with, and as your project expands, you can upgrade to a fully customized multi-GPU cluster.

Smart GPU Rental Services for LLM Projects

We provide smarter options to get the computing power you require. Our scalable rental plans allow you to avoid long-term contracts. You can quickly deploy the best GPU for LLM resources for your specific task. and easily manage your cloud GPU for LLM consumption.

Choose the Right GPU for Your Specific Workload

We provide specialised NVIDIA GPU hardware for all requirements. Select a powerful H100 or A100, or a development and inference RTX series. Each GPU is optimized for a different type of LLM project.

Customer Reviews

Our customer stories explain why we are rated highly on all platforms that we operate, and we are the best.

Great Hosting Services

Cantech is an excellent hosting service provider, especially for dedicated servers in India. I have been using their services since 2017 and highly recommend them for their proactive and professional support team. Their servers offer great performance with latency between 23ms and 55ms ....

Aadit Soni
Trustpilot Rating | Cantech

Great hosting service company.

I have been using Cantech services since 2018 and it's a great hosting service company. I must recommend all to start a trial with them and you will also be a long term customer for them. The support team is very proactive and professi....

Sagar Goswami
Trustpilot Rating | Cantech

Best Quality Hosting

I have 11 years of association with the company and I can upfront suggest Cantech as Hosting Provider to any one without any hesitation. My sites were almost up all the time (2 time problem in 11 years) which were solved promptly. They are reliable with a best quality hosting and ....

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Amazing Service

Best in digital business. Very user friendly website and very customer centric approach they have, along with affordable prices....

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No.1 Hosting Company in India

Great Support, Great Company to work with. Highly technical and polite staff. They are well trained. Surely, Cantech is No. 1 Hosting Company in India.

Gaurav Maniar
Trustpilot Rating | Cantech

Excellent

We highly Recommend Cantech. Outstanding support. We recently moved from a different service provider to Cantech for web hosting, SSL and domain registration.We approached Cantech only for SSL and all thanks to excellent support and guidance by Mr.Devarsh we landed up taking more services with Cantech....

Lakshmi P
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FAQs on Rent GPU for LLM

Is delivery time inclusive of the KYC process?

If this is your first order with this Cantech Sales team, your order may take slightly longer due to the KYC customer verification.

What exactly is a GPU for LLM rental service?

It provides on-demand access to high-performance GPU servers to train and run large language models. You get charged per hour, monthly, or annually for the compute time consumed.

Which is the best GPU for LLM fine-tuning?

The best GPU for LLM fine-tuning depends on model size. In the majority of 7B to 13B models, an NVIDIA RTX 4090 or A6000 with 24GB or 48GB VRAM is a good match. The larger models might need an NVIDIA A100 or more advanced ones.

Can I rent a GPU for local LLM development?

Yes. You can rent a GPU for local LLM development. You get complete root access to your GPU instance and can have a local-like environment to develop and experiment.

How quickly can I deploy a Cloud GPU for LLM?

Deployment is instant. Our entirely automated system delivers a cloud GPU for LLM instance with quick provisioning within minutes.

Do you provide support for PyTorch and TensorFlow?

Yes. We have NVIDIA drivers and CUDA libraries included in our GPU instances. PyTorch, TensorFlow, and other larger AI frameworks are easy to install and run. We fully support all major AI development tools.

What is the benefit of a dedicated GPU server over a VDS with GPU?

A dedicated GPU server gives you exclusive use of all hardware resources. VDS has some underlying components. Dedicated servers offer maximum, consistent performance and total resource isolation for your best GPU for LLM work.

Is there a long-term contract to rent GPU for LLM?

No. We have a pay-as-you-go pricing system with our wide range of plans. You are not bound by any long-term contracts and can quit or suspend at any time.

What kind of security measures are in place?

Our Tier 3/4 data centers are physically secured and possess strong network firewalls. Your information is encrypted and secure. You have full control to implement your own security policies on the server.

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