Cloud services · NVIDIA GPUs

GPU power for AI, kept in India.

Enterprise NVIDIA GPUs for faster AI training, deep learning, 3D rendering, video processing and more, with INR billing and data residency.

  • Up to 100x faster than CPU
  • Pay as you go
  • INR billing and GST
  • 24/7 GPU specialists
GPU CloudH100 · RTX PRO 6000 · A100 · L40S · L4
Use cases

What GPUs make possible.

AI and machine learning

Train deep learning models up to 100x faster than CPU-only.

3D rendering and graphics

Animations, VFX and architectural visuals without on-prem hardware.

Video and post-production

4K and 8K in real time, renders from hours to minutes.

Science and analytics

Simulations, genomics, financial modelling and big data.

GPU line-up

Pick the GPU for the job.

NVIDIA H100

80 GB HBM3. Up to 9x faster training and 30x faster inference. For the largest models.

NVIDIA RTX PRO 6000 Blackwell

96 GB GDDR7. The largest vRAM in the line-up, for big AI models and heavy rendering.

NVIDIA A100

80 GB HBM2e. Advanced Tensor Core GPU for enterprise AI and analytics.

NVIDIA L40S

48 GB GDDR6. Universal GPU for AI inference, training and graphics.

NVIDIA L4

24 GB GDDR6. Efficient video processing and ML inference.

Key benefits

Performance that CPUs cannot match.

  • 10x to 100x faster. Thousands of parallel operations at once.
  • Pay-as-you-go. Scale up for heavy jobs, down when idle, no lock-in.
  • Enterprise security. Network isolation, encryption, DDoS protection and monitoring.
  • 99.9% uptime guarantee. Redundant power, network and automated failover.
  • Local infrastructure. Low latency, INR billing, GST compliance and data residency.
  • Quick setup. Pre-configured TensorFlow and PyTorch in minutes.

Questions we hear often

What is GPU cloud hosting?

Using graphics processors instead of CPUs for compute-heavy tasks like AI training, 3D rendering and video processing.

How is it priced?

You pay for the GPU time you use. Rates vary by model and configuration, so contact us for a quote.

Can I scale up and down?

Yes. Add or remove GPU instances any time without downtime.

Is it suitable for small businesses?

Yes. Pay-as-you-go means no big upfront cost. Start small and grow.

Talk to us about GPU Cloud

We usually reply within one business day. Already on AWS, Azure or GCP? Share your bill and we will send a side-by-side INR comparison.