Facts

In the dynamic field of artificial intelligence, the norm has typically been to use large, complex models that demand substantial computational power. Yet, for many practical applications, smaller and more efficient models are more beneficial, particularly when access to advanced GPUs and large server infrastructures is limited. ZeroTrain.ai tackles this issue by focusing on the development of models that achieve a balance between strong performance and accessibility. This strategic approach is crucial for businesses, developers, and researchers—enabling them to integrate AI capabilities into daily operations more seamlessly, efficiently, and transparently.

Multi-Cloud Marketplace Integration

ZeroTrain.ai is preparing a unified release across the Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) marketplaces. This unified approach ensures that our AI inference technology is available to customers in their preferred ecosystem—whether Azure, AWS, or Google Cloud—while maintaining the same consistency, transparency, and performance across all environments.

Through these cloud marketplaces, customers can deploy ZeroTrain.ai as a fully serverless service—built to scale automatically and integrate seamlessly with existing enterprise workflows. Pricing, onboarding, and account management are handled directly through each provider’s marketplace billing system.

• Serverless Deployment: Delivered as native cloud functions on Azure, AWS Lambda, and Google Cloud Functions.
• Unified Experience: One consistent ZeroTrain architecture, regardless of which platform you deploy on.
• Transparent Pricing: Purchase and manage subscriptions through your existing cloud provider.
• Global Reach: Available worldwide via Microsoft, Amazon, and Google’s cloud infrastructures.

Coming soon to the Microsoft Azure, AWS, and Google Cloud Marketplaces!