Resources
Technical whitepapers, benchmarks, and insights from the Oenerga team.
Technical Whitepaper
Download our comprehensive technical whitepaper covering the Multi-Physics Photonic Integrated Circuit (MP-PIC), compiler architecture, and deployment best practices.
- ✓ PhotonCore, NeuroMesh, Q-Bridge deep dive
- ✓ Benchmark comparisons vs GPU infrastructure
- ✓ Integration guides for PyTorch/JAX/TensorFlow
- ✓ Enterprise deployment playbook
Performance Benchmarks
Representative performance comparisons vs. traditional GPU infrastructure
Energy Efficiency Comparison (Representative Workload)
Performance based on Oenerga internal benchmarks and pilot deployments. Results vary by workload.
Latest from Oenerga
Technical insights and deep dives into multi-physics computing
Ending the von Neumann Bottleneck: Why Light Wins
Exploring how photonic computing eliminates the fundamental bottleneck in traditional computing architectures.
Read more →Analog Optical GEMM: How PhotonCore Changes AI Inference
Deep dive into PhotonCore™ and how analog optical matrix multiplication transforms AI workloads.
Read more →Neuromorphic Spiking Meets Telecom: Event-Driven at the Core
How NeuroMesh™ brings event-driven computing to telecommunications infrastructure.
Read more →Quantum Optimization Today: Practical QUBO on Photonics
Q-Bridge™ makes quantum optimization practical for real-world enterprise problems.
Read more →The Multi-Physics Compiler: Unifying PyTorch, JAX, TensorFlow
Our compiler automatically partitions workloads across photonic, neuromorphic, and quantum modes.
Read more →Deployment Playbook: From Pilot to Production on Oenerga
Best practices for deploying Oenerga infrastructure in enterprise environments.
Read more →