Training capacity needs an acceptance test.
Monthly GPU systems for training and fine-tuning, sized around the model, topology and data path.
The acceptance test is part of the order.
Training capacity is closed with an agreed training check, not a hardware handover. The sequence below is how a training quote is built and proven.
Model, framework, precision, dataset size, batch profile and checkpoint behaviour.
Single card, single node or multi-GPU, validated against the framework and interconnect rather than assumed.
Where paid validation capacity is available, a representative job runs with a stated acceptance target.
The agreed training check closes delivery; management scope is documented separately.
Monthly GPU systems from ₹99,000 per A100 80GB card to ₹2,20,000 per H200 141GB card. Multi-GPU topology, host resources and storage are quoted as a complete system.
See all GPU pricesCommon questions.
Can a training workload scale across multiple GPUs?
Only when the framework, model, interconnect, storage and training method support efficient distribution. The topology is qualified before quote.
Can I run a validation job first?
Where paid validation capacity is available, its data path, duration, acceptance target and price are stated separately before monthly capacity is reserved.