Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads — from reinforcement learning to deep learning to tuning, and model serving.
Why this server?
Offers access to Luma Ray2 Flash, an AI model for image-to-video conversion, allowing for video generation from text prompts or images.
Why this server?
Provides access to Raygun's API V3 endpoints for managing crash reporting and real user monitoring data, including applications, error groups, deployments, user sessions, performance metrics, and source maps.
Why this server?
Provides tools for managing Ray Serve deployments, replicas, and Ray Jobs, including scaling, autoscaling, draining, and monitoring of GPU inference clusters.
Why this server?
Integrates with Ray video generation models (ray-1-6, ray-2, ray-flash-2) for creating AI-generated videos with various parameters and capabilities.