Spin up dedicated NVIDIA GPU instances for AI training, fine-tuning, inference, and 3D rendering — billed hourly or monthly, hosted in Indian data centers with low-latency connectivity.
BUILT ON THE FRAMEWORKS YOU ALREADY USE
Full, uncontended access to H100, A100, or RTX-class GPUs — no sharing, no noisy neighbors.
Spin up for a training run, shut down when it's done. Hourly billing alongside monthly plans.
Launch with PyTorch, TensorFlow, and CUDA drivers already installed and version-matched.
Train and serve models from Mumbai and Delhi NCR, with low latency to Indian users and APIs.
Complete control over your environment, drivers, and dependencies from day one.
Scale from a single GPU to multi-GPU NVLink configurations for large model training.
Billed hourly or monthly. Stop anytime, pay only for what you use.
Great for inference & fine-tuning
Built for serious model training
For large-scale training clusters
Choose a location near you for the best performance
Trusted by teams training and serving models in production
Fine-tuned a 7B parameter model over a weekend on an A100 instance and shut it down Monday morning. Paying by the hour made the whole experiment affordable.
We run inference for our recommendation engine on RTX 4090 instances. Latency to our Mumbai users dropped noticeably compared to our old overseas GPU provider.
The pre-built PyTorch image saved us a full day of environment setup. We were running training jobs within minutes of launching the instance.
Everything you need to know about GPU servers
We currently offer NVIDIA RTX 4090, A100 80GB, and H100 instances, including multi-GPU NVLink configurations for large training jobs. Contact sales if you need a different GPU model.
Yes, every GPU plan supports hourly billing in addition to monthly commitments. You're only charged for the time your instance is running, and can stop it anytime from your dashboard.
Yes, you can launch from pre-built images with PyTorch, TensorFlow, CUDA, and cuDNN already installed and version-matched, or start from a clean Ubuntu image if you prefer to configure your own stack.
Most single-GPU instances boot in under 60 seconds from the dashboard. Multi-GPU H100 clusters may take a few minutes longer to provision and network together.
Yes, our H100 Multi-GPU plan provides NVLink-connected GPUs in a single instance for distributed training. For larger multi-node clusters, contact our sales team for a custom configuration.
Yes, all GPU instances run out of our Indian data centers in Mumbai, Delhi NCR, and Bangalore, keeping your training data and model weights within India.
Get in touch for VPS/bare-metal server solutions
ZetrikCloud Services PVT. LTD.
Office No. 14, T/F, Block-B, Shakuntla Apartment,
New Delhi, Mundka West Delhi-110041
+91 8750 161 161 (Support)
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