A modular, themeable, multi-node system that distributes computationally intensive tasks across worker fleets.
Photon Render distributes computationally intensive jobs across workers, with real-time visibility and resilient queue management.
A high-performance application layer, durable job store, and event-driven worker coordination keep submissions responsive, state reliable, and execution scalable across production workloads.
Out of the box, the web UI includes a command center, pipeline designer, and gallery view for tracking outputs and execution history.
From queueing to execution, Photon Render is designed for high-visibility, multi-worker compute pipelines.
Create drag-and-drop job flows and send them into a durable queue built to handle repeatable, multi-step production work.
Switch across Matrix, Cyberpunk, Dracula, Amber, Nord, and Bloodline interfaces with localStorage sync.
Track logs, progress, and worker status through live updates that keep operators informed without refreshing or polling dashboards.
Run rendering, compositing, media-processing, and custom command steps in one execution engine so teams can standardize mixed workloads in a single platform.
Launch the control plane, job store, and worker fleet quickly with an environment designed for rapid setup, consistent environments, and simpler handoff to operations teams.
Keep task history durable and auditable while giving teams a gallery view of outputs, reruns, and execution history.
Fast to evaluate, straightforward to deploy, and structured for repeatable environments across teams.
A low-latency application layer, durable state management, and event-driven coordination keep job execution responsive, reliable, and easy to integrate.
The application layer keeps job submission fast, exposes clean integration points, and separates orchestration, file handling, and live updates so customers can connect Photon Render to existing pipelines with less friction.
Persistent job state and event-driven updates give teams reliable history, stronger recovery, and live visibility without depending on fragile in-memory coordination.
Workers claim tasks, execute them safely, and stream structured progress back to operators so workloads can scale across multiple machines without losing control or visibility.
Programmatic and live-update interfaces for job submission, monitoring, file uploads, and operational telemetry.
POST /execute
Submit a new render or shell task to the queue
GET /jobs
List all jobs with status, worker assignment, and metadata
GET /jobs/{id}
Retrieve full details, logs, and output paths for a job
POST /jobs/{id}/cancel
Cancel a queued or active job immediately
GET /health & /readyz
Liveness and readiness probes for container orchestration
POST /upload-project
Upload source project files for render and scene-processing jobs
POST /upload-composite
Upload composition files for post-processing and finishing stages
WS /ws/stats
Live CPU, GPU, memory, and network telemetry stream
WS /ws/jobs
Real-time job queue updates and worker log broadcast
WS /ws/commands
Issue control commands to workers through a live command channel
A quick look at key areas of Photon Render, including monitoring, orchestration, and output workflows.
The next milestones are focused on helping teams launch faster, deliver more work with the same infrastructure, and operate shared rendering pipelines with less friction.
Phase 1 Deployment
Production deployment paths and GPU-aware scheduling will help teams stand up Photon Render more quickly, reduce setup overhead, and move from evaluation to active job execution with less engineering effort.
Phase 2 Throughput
Reusable templates, richer media-processing stages, and output packaging flows will help customers standardize repeatable work, cut down manual steps, and move from raw renders to deliverables faster.
Phase 3 Operations
Dependency rules, notifications, access controls, and stronger multi-tenant isolation will give teams better visibility and governance when multiple users, departments, or clients share the same render infrastructure.
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Choose the plan that matches your team size and production needs.
For freelancers and tiny teams running small render clusters.
For teams operating real production workloads.
For studios running serious infrastructure.
Follow development on GitHub
Interactive API reference and integration docs