Hi NVIDIA Sionna community,
I’m Vinayak, a Java Backend Developer from
Pune, India and a member of the NVIDIA AI
Aerial / 6G Developer Program.
I just shipped Sionna Visualizer the first
publicly deployed visual dashboard built on
top of NVIDIA Sionna.
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What it does:
→ Run 6G OFDM simulations in your browser
→ See BER vs SNR curves rendered instantly
→ Full simulation history backed by PostgreSQL
→ Share any result with one public link
→ JWT authenticated and cloud deployed
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Tech stack:
→ Java Spring Boot 3 — REST API backend
→ Python FastAPI — Sionna simulation bridge
→ Angular 17 — interactive dashboard
→ PostgreSQL — simulation history storage
→ Docker — single command local setup
→ Railway + Vercel — cloud deployment
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Links:
Live URL: [Sionna Visualizer]
GitHub: GitHub - Vinu2111/sionna-visualizer: A full-stack web dashboard for NVIDIA Sionna 6G simulation results. Angular + Java + Python + PostgreSQL. · GitHub
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Current state:
Phase 1 is complete and live. The simulation
currently uses realistic mock data. Real GPU
Sionna integration is Phase 2 — which I am
now planning.
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Why I built this:
200,000+ researchers download Sionna. Every
single one gets raw Python output — numbers,
tensors, Jupyter notebooks. No visual layer
existed publicly. I built that missing layer.
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Questions for the community:
-
What visualizations beyond BER vs SNR would
be most useful for your research? -
Which Sionna simulation types should I
prioritize for real GPU integration in Phase 2? -
Any feedback on the architecture or approach?
Would love input from researchers who use
Sionna daily. This tool is built for you.
Vinayak Gote
vinayak6g.hashnode.dev