IndiaAI GPU Infrastructure Recommender

Calculate VRAM requirements and get optimal GPU recommendations for your AI workloads using IndiaAI's price list.

🔧 Configuration

Model Name or Size
Select a model or enter custom (e.g., '7B', 'meta-llama/...')
Task
Select your use case
Framework
Framework for the task
Quantization
Precision format

📐 Workload Parameters

💰 Cost Estimation

Pricing Tier
Select pricing model
GPU Manufacturers
Filter recommendations by GPU manufacturer

💡 Tips:

  • Start with smaller batch sizes for testing
  • QLoRA is most memory-efficient for training
  • Consider reserved instances for long-term workloads
  • VRAM estimates include 10% safety buffer
  • Higher "Cost Efficiency" means more tokens processed per rupee spent