GPU Rental in India (RTX 3090/4090)

Spin up dedicated RTX 3090/4090 capacity in India for training, fine-tuning, inference, and rendering. Indianode offers pay-per-minute billing, simple tokens, and quick boot times. For short tasks or automation, try our SDL deployment; for media workloads, see GPU for rendering.

Who is this for?

• AI/ML teams running fine-tunes, embeddings, or batch inference
• Researchers and students experimenting with open models
• Studios & creators needing accelerated video/image rendering
• Engineers building services that require a dedicated GPU

Hardware

• RTX 3090 (24 GB VRAM) — reliable, affordable training/inference
• RTX 4090 (24 GB VRAM) — higher throughput for larger models
• Fast local NVMe + high-speed CPU/RAM for preprocessing

Why Indianode

• On-demand capacity with pay-as-you-go billing
• Low latency for India-based users and data residency friendly
• Optional managed endpoints (see LLM hosting and Whisper on GPU)
• CLI/terminal-first workflows via SDL deployment

How billing works

You purchase minutes and redeem them with a one-time token. See Pricing for typical rates. Minutes can be used for GPU rental in India, SDL deployment, or managed services like LLM hosting.

Typical setup

1. Choose a GPU (3090/4090) and expected minutes.
2. Provision a node or use an existing template (e.g., PyTorch, TensorRT).
3. Deploy via SDL deployment or use SSH.
4. Run workloads and monitor usage. Scale up or pause anytime.

Best practices

• Profile your model locally; bring only necessary assets to reduce spin-up time.
• Use mixed precision (AMP/bfloat16) where possible.
• Cache datasets on NVMe; stream from object storage for large corpora.
• For rendering, see our GPU for rendering notes.

Ready to start? Check Pricing or Contact us for reserved capacity.