Show HN: I built a hypervisor and client for inference on consumer compute (scalattice.com)

Scalattice has introduced a new hypervisor and client designed for efficient inference on consumer-grade computing resources, enabling developers to easily integrate AI capabilities into their applications. By utilizing an API that speaks the same language as OpenAI’s Chat Completions, developers can access a variety of models without needing to rewrite their application stack. Through the straightforward setup process, which involves creating an API key and using the SDK or a simple curl command, users can employ models such as qwen-3-8b and others from Scalattice’s catalog for AI tasks. This development is significant for the AI/ML community as it democratizes access to powerful AI models, allowing developers to leverage sophisticated machine learning technologies without significant infrastructure investment. Scalattice’s approach includes transparent pricing per token and adds essential features like output vetting, security tiers, and constraints for compliance with regional policies. These attributes not only enhance usability and security but also position Scalattice as a competitive player in the burgeoning space of AI services tailored for smaller developers and organizations.