2025 07 07 rudra cloud

Yotta / Rudra Accelerator Program

• dwani.ai - Requirements
• Your AI ML Use Case Generative AI Applications
  • (Content Creation/ Code Generation/ Design Automation),
• What is the size of the AI/ML model you are working with?
  • More than 100 GB (e.g., GPT-4, PaLM 2, LLaMA 3)
• Current GPU Provider
  • Lambda.ai
• GPUs currently used
  • NVIDIA H100
• Choose AI workspace required
  • AI Workspace as a Service-Container - Zeal
  • GPU : 4 x Nvidia H100 (320GB) CPU :
    • 32 Cores RAM : 128 GB Object Storage : 250 GB
    • Unlimited Data Ingress & Egress with Jupyter Notebook / VS Code Tool
    • Computer Vision, NLP, Pillow, Tensorflow, Open CV, CV CUDA, Pytorch Template Bundled
• Your Expectations out of the program -
  • Inference for Android app + Enterprise Users for dwani.ai API

• Comments Lambda.ai – Nvidia GH200 GPU

• Total USD 50K GPU credits in 3 tiers

• 10,15,25 USD

• Access

• USD 10 k
• 6 months
• Acclerate
• USD 15K
• 6 months
• Achieve
• USD 25K

• 12

• Reference

• https://yotta.com/rudra/Program-Advantages.html
• https://yotta.com/rudra/Program-Structure.html
• https://yotta.com/rudra/Application-Process.html