⚡ Beta9: Serverless GPU Inference and Job Scheduling

Beta9 is an infrastructure project written in Go, focusing on serverless GPU inference, sandboxed environments, and background job scheduling. In short, it aims to solve the problem of efficiently allocating and managing GPU resources when running large models or complex computational tasks in the cloud. The demand for this type of tooling is clear: as generative AI becomes more prevalent, developers need GPU access, but traditional persistent deployments are often too expensive. Beta9 tries to offer a Functions-as-a-Service (FaaS) experience, allowing GPU resources to spin up and release quickly on demand. For teams handling distributed computing or model fine-tuning, this kind of low-level resource orchestration is a core component for building efficient AI platforms.