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FAQ

Frequently Asked Questions (FAQ)

Q: Where do you source your GPUs from?

A: We partner with a diverse network of cloud providers, both large and small, to offer you a wide range of GPUs with competitive pricing and high availability. We continuously evaluate and onboard new providers to ensure we can consistently deliver the best possible service and selection.

This dynamic approach allows us to:

  • Optimize for cost-effectiveness: By leveraging multiple providers, we can identify the most cost-efficient options for your specific needs.
  • Maximize availability: Our diverse network helps mitigate the risk of GPU shortages, ensuring you have access to the resources you need, when you need them.
  • Offer cutting-edge technology: We prioritize providers who offer the latest and most powerful GPUs, enabling you to train your models with optimal performance.

While our provider network evolves to provide you with the best options, it's important to note that pricing and availability may fluctuate over time. We strive to provide transparent and up-to-date information on our pricing page and through our CLI.

Q: What machine learning frameworks do you support?

A: Trainwave supports all major machine learning frameworks, including TensorFlow, PyTorch, Hugging Face Transformers, PyTorch Lightning, and XGBoost. We provide pre-built Docker images with these frameworks readily installed for your convenience. You can also use your own custom Docker images if you have specific requirements.

Q: How do I get support?

A: We're here to help! If you have any questions or encounter any issues, you can reach out to our support team through the following channels:

  • Email: support@trainwave.ai
  • In-app chat: Use the chat widget in the Trainwave web UI to connect with our support team in real-time.

Q: What security measures do you have in place?

A: Security is a top priority at Trainwave. We employ a range of security measures to protect your data and ensure the integrity of your training jobs. These include:

  • Isolated environments: Your jobs run in secure, isolated Docker containers.
  • Secure secrets management: We provide a secure system for storing and managing your sensitive information.
  • Compliance certifications: Trainwave is committed to meeting industry security standards.

Q: What are your plans for the future?

A: We are continuously developing new features and enhancements to make Trainwave even more powerful and user-friendly. Our roadmap includes:

  • Enhanced hyperparameter tuning: Deeper integrations with popular hyperparameter optimization libraries.
  • Simplified model deployment: Streamlined workflows for deploying models to various platforms.
  • Advanced collaboration features: Tools for improved team collaboration and project sharing.

We're excited to continue building the best platform for AI/ML training in the cloud!