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At host.co.in we do not offer just server space to rent, but we offer you a continuous and effective platform to develop, train, render and scale without worrying about expenses, disruptions or customer service. Exclusive access to GPUs and competitive prices in India.
GPU processes power-demanding work with high-performance NVIDIA A100, A6000, and A5000 GPUs and with an independent VRAM which is especially designed for high workloads like gaming, artificial intelligence, machine learning and creative tasks efficiently with the help of its high-performance bandwidth.
Featuring enterprise-grade infrastructure, our cheap GPU server hosting is built with benefits for businesses across India and is hosted in a tier IV Mumbai data center with guaranteed 99.95% availability and optimised with consistent server performance in a secure environment.
A GPU server optimised with NVMe SSD storage will provide high speed, low latency and fast data processing, especially for high workloads. Affordable GPU hosting for AI datasets, rendering pipelines and compute-intensive applications.
Launching a server is not the problem, but maintaining it becomes a challenge. We have professionals who offer assistance 24/7 for deployment and resolving any problems associated with server optimisation.
Select the server setup according to the specifications of your project, performance and budget constraints. Our affordable GPU server hosting solutions are suitable for startups, enterprises, software developers, and academic researchers.
As per the changing market structure and business requirements, your business workload might fluctuate, but with our cheap GPU-dedicated server, which is built to scale up as per your requirement, you can easily upgrade your storage and RAM of your GPU plan without disturbing your ongoing workload.
Our GPU servers are built on NVIDIA's most reliable hardware, housed in a Tier IV Mumbai datacenter designed for maximum reliability and security. We build our infrastructure around one standard: that your workload runs without interruption, every single time.
Our GPU infrastructure experts are on call around the clock, every day of the year. Whether you are setting up for the first time or managing a business-critical workload, we are fully invested in keeping your infrastructure running at its best, not just when things go wrong, but every step of the way.
Enterprise grade infrastructure at a price every business in India can afford. Dedicated NVIDIA GPU servers. No shared resources. No hidden fees. No foreign billing. Simple pricing for the hardware and support your workload actually needs.
Train AI Model
Machine Learning
Video Processing
3D Animation
Scientific Computing
Big Data Analysis
Cloud Gaming
Built on enterprise-class CPUs, ECC memory, and NVMe SSDs, our servers are powered by NVIDIA A100, A6000, and A5000 GPUs, giving your workloads the raw muscle they need to perform at their best.
Your GPU server runs in a fully isolated environment, meaning your resources are yours alone: no third-party website disturbance, no interference, just continuous and stable performance every single time.
Your infrastructure grows with your business. You can easily increase your computing power, storage, memory and GPU settings as your needs change, fuss-free.
You have complete control; you can set up your server according to the needs of your workflow, install the software of your choice, select the operating system, and adjust the settings and controls.
You don’t have to do it all yourself. Our team of experts are right there with you, helping with deployments, troubleshooting issues, monitoring your servers and taking on any infrastructure challenges you may have.
| Feature | A5000 | A6000 | A40 | A100 |
|---|---|---|---|---|
| Architecture | Ampere | Ampere | Ampere | Ampere |
| CUDA Cores | 8192 | 10752 | 10752 | 8192 |
| Tensor Cores | 256 | 336 | 336 | 432 |
| GPU Memory | 24 GB | 48 GB | 48 GB | 80 GB |
| Memory Type | DDR6 | DDR6 | DDR6 | DDR6 |
| Memory Speed | 768 GB/s | 768 GB/s | 696 GB/s | 1600 GB/s |
| Performance (FP32) | 27.8 TFLOPS | 38.7 TFLOPS | 37.4 TFLOPS | 19.5 TFLOPS |
A regular server has a central processing unit (CPU), a special processor that does a few complex jobs one at a time but in the most efficient way possible. The other hand, the GPU server, is equipped with a graphics processing unit that can perform thousands of small calculations simultaneously.
So the main difference is that a CPU is like one chef cooking a good dish, while a GPU is like a brigade of cooks cooking hundreds of dishes per hour. GPUs are crucial for machine learning, deep learning, video rendering and complex scientific calculations. A GPU can do very powerful parallel computing. Cheap Nvidia GPU-based dedicated servers in India by host.co.in.
You don't need to possess deep technical expertise to operate the GPU server, although some knowledge of Linux and command line usage is recommended. Everything you need has already been prepared before you start working. Our servers are easy to use for most machine learning developers, data scientists, and researchers.
Need help with initial access, software installation, or configuration? Our 24/7 support team is ready to walk you through everything at no extra cost. Most customers are up and running within hours of receiving their credentials.
So basically you own the whole physical server; it is just yours, and nobody else knows about it. This is a concept that is completely alien to shared hosting, where many users share the same hardware and compete for the same resources. It’d be like having your own flat instead of a paying guest in the same building and location.
Our affordable GPU servers are designed to make world-class computing accessible to everyone from startups and software developers to researchers, creative studios, growing companies and more. Rather than purchasing costly hardware and spending a hefty sum, you can rent GPU servers at affordable rates starting from Rs. 8,999 per month.
Yes, our cheap GPU server hosting offers dedicated server hosting environments for safety, privacy and workload separation. As a result of non-shared resources, your data and application can be accessed only inside your server environment. We operate out of a Tier IV data centre in Mumbai, ensuring data protection, reliability and compliance with local data laws.
Indeed, the inexpensive GPU servers which have reliable infrastructure and resources are able to provide reliable services. The hosting services provided by us, at host.co.in, are not only inexpensive but also have the best infrastructure and services.
Ordinary RAM is the server's usual working memory needed for running the OS and apps. It is called VRAM and is directly mounted on the graphics card and used solely for processes executed by the GPU, such as training a neural network model. Saying that the NVIDIA A100 has 80 GB means that there is this much VRAM installed. In terms of AI/ML computing, VRAM is crucial, and without enough of it, you won't be able to launch the process at all.
Yes, cheap GPU server setups scale. It depends on how your project evolves. Businesses can increase their computing power, disk space, RAM, and GPUs to match the growth of their workloads without needing to move to a completely different setup. That allows for scalable cheap GPU server hosting.