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India GPU Dedicated Servers

GPUYard delivers NVIDIA and AMD EPYC-powered dedicated GPU servers across India — purpose-built for AI training, deep learning, 3D rendering, and high-performance computing with low latency and fully customizable hardware configurations.

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GPU Dedicated Server Plans in India

Below is the current lineup of GPU dedicated servers available in our Mumbai location, with real specs and pricing

Mumbai GPU Dedicated Servers India

Intel Xeon X3440
Intel Xeon X3440
PID: 879 | DC-24
2.53 GHz 4Cores 8Threads
Nvidia GeForce GT 710 GPU
RAM16GB
Storage100GB SSD
Bandwidth1Gbps Unmetered
$289 /mo
Intel Xeon E5-2643
Intel Xeon E5-2643
PID: 880 | DC-24
3.30 GHz 4Cores 8Threads
Nvidia Quadro P620 GPU
RAM32GB
Storage200GB SSD
Bandwidth1Gbps Unmetered
$345 /mo
Intel Xeon E5-2670
Intel Xeon E5-2670
PID: 881 | DC-24
2.60 GHz 8Cores 16Threads
Nvidia Tesla K40 GPU
RAM64GB
Storage300GB SSD
Bandwidth1Gbps Unmetered
$390 /mo
Intel Xeon E5-2689
Intel Xeon E5-2689
PID: 882 | DC-24
2.60 GHz 8Cores 16Threads
Nvidia Tesla K80 GPU
RAM128GB
Storage400GB SSD
Bandwidth1Gbps Unmetered
$494 /mo
AMD EPYC 9224
AMD EPYC 9224
PID: 1473 | DC-30
2.50 GHz 24Cores 48Threads
GeForce GT 1030 2GB
View 1 Other Options
Available GPU Options:
  • NVIDIA Tesla A2 16GB (+$344.00)
RAM128GB DDR5
Storage2x 1TB SSD
Bandwidth1Gbps Unmetered
$446 /mo

India's Network & Infrastructure Advantage

India is one of Asia's key international connectivity hubs, with the majority of the country's international subsea cable capacity landing along the Mumbai coast. This positions Mumbai-based GPU dedicated servers close to some of the fastest available routes into global networks, rather than depending on a single distant gateway.

Domestic routing is handled through India's National Internet Exchange (NIXI), which keeps local internet traffic within the country instead of sending it through international hops. For businesses and development teams based in India, this translates into lower latency and more predictable network performance when accessing a GPU server hosted in-country, compared to routing requests overseas.

For AI training, inference, and rendering workloads, this network positioning matters as much as the hardware itself: a fast GPU sitting behind a slow or distant network path still bottlenecks real-world performance. A GPU dedicated server hosted in India combines both high-performance hardware and a network path built for Indian users.

International Connectivity


Mumbai hosts the majority of India's international subsea cable landings, connecting Indian infrastructure directly to global networks.

Domestic Routing (NIXI)


India's National Internet Exchange keeps local traffic within the country, reducing latency for India-based users and teams.

Built for AI & Compute


Low-latency network positioning benefits GPU-intensive workloads like model training, inference, and rendering.

Why Host Your GPU Workload in India

Choosing a data center location isn't just about price, it affects latency, compliance, and how close your infrastructure sits to your actual users or team.

Regional Proximity


A Mumbai-based GPU server keeps data and compute closer to Indian users, development teams, and customers, reducing round-trip latency compared to hosting overseas.

20+ Years of Hosting Experience


GPUYard has operated dedicated infrastructure for two decades, with a footprint across 250+ locations globally.

Unmetered Bandwidth


Every GPU plan in India ships with 1Gbps unmetered bandwidth, so data transfer volume isn't a variable cost you have to budget around.

Full Root/Dedicated Access


No noisy neighbors, no shared GPU scheduling. The hardware is yours for the duration of your plan.

Use Cases for GPU Dedicated Servers in India

AI and machine learning

AI and machine learning

Indian AI startups and research teams use Tesla K40 and Tesla K80 GPUs for model training and inference, keeping compute — and data — inside the country instead of routing to overseas cloud regions.

Rendering and 3D workflows

Rendering and 3D workflows

Design studios and visualization teams in India rely on Quadro P620 and GT-series GPUs for CAD and rendering pipelines that need consistent, dedicated GPU access without shared-resource slowdowns.

Data processing pipelines

Data processing pipelines

Configurations with up to 128GB RAM support Indian businesses moving large datasets between storage, memory, and GPU — common in analytics, ETL, and data-heavy AI preprocessing workflows.

Development and testing

Development and testing

Lower-tier plans like the GT 710 or Quadro P620 give Indian dev teams a cost-effective way to test GPU-accelerated applications locally before scaling to production-grade hardware.

How to Choose the Right GPU Server in India

Match the plan to the workload, not the other way around:

Light Inference & Development

GT 710 or Quadro P620 configurations are ideal for development, testing, and light inference workloads.

Training & Rendering

Tesla K40 or Tesla K80 configurations offer more VRAM headroom and cores for training small-to-mid AI models or rendering jobs.

CPU-Heavy Workloads

AMD EPYC 9224 handles parallel workloads efficiently, especially with the Tesla A2 upgrade for GPU support.

Large Datasets

Require maximum RAM? Choose the Tesla K80 plan (128GB RAM) or AMD EPYC 9224 plan (128GB DDR5).

If none of these match your exact requirement for example, you need a newer Nvidia architecture like the A40, A100, or H100 GPUYard's broader GPU catalog is available across other locations, and custom configurations for India can be discussed directly with our team.

Contact Us

Our Dedicated GPU Servers in India

Choose the dedicated server which is right for your business.

Mumbai

Frequently Asked Questions (FAQ)

GPUYard's Mumbai-based GPU dedicated servers start at $289/month for the entry-level Nvidia GeForce GT 710 configuration and go up to $494/month for the Tesla K80 configuration with 128GB RAM. Pricing depends on the GPU model, CPU, RAM, and storage included in the plan.
GPUYard's India lineup includes an AMD EPYC 9224 processor-based server, paired with an Nvidia GeForce GT 1030 GPU (with an optional Nvidia Tesla A2 upgrade). This is an AMD EPYC CPU platform combined with Nvidia GPU acceleration, rather than an AMD-branded GPU.
Current Mumbai GPU options include Nvidia GeForce GT 710, Nvidia Quadro P620, Nvidia Tesla K40, Nvidia Tesla K80, Nvidia GeForce GT 1030, and Nvidia Tesla A2 (as an upgrade on the AMD EPYC plan).
Yes. Every GPU dedicated server plan in the Mumbai location includes 1Gbps unmetered bandwidth.
For AI training and inference workloads, the Tesla K40 or Tesla K80 configurations offer the most VRAM and compute headroom in GPUYard's India lineup. Startups running lighter inference or development workloads can start with the GT 710 or Quadro P620 plans and scale up as compute needs grow.
Mumbai hosts the majority of India's international subsea cable landings and is a core node in India's National Internet Exchange (NIXI) network, which routes domestic traffic within the country. This gives Mumbai-based GPU servers strong, low-latency connectivity to users and teams across major Indian cities, not just the local region.
Yes. The AMD EPYC 9224 plan in the India lineup ships with a GeForce GT 1030 GPU by default, with an optional upgrade to an Nvidia Tesla A2 for workloads needing stronger GPU acceleration.