Egress — Nekoken 3d

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| Metric | Baseline | Nekoken 3D Egress | Improvement | |----------------------------|----------|--------------------|--------------| | First-frame latency | 2.3 sec | 0.4 sec | 5.75x | | Steady-state bandwidth | 120 Mbps | 22 Mbps | 5.45x | | Server-side CPU (egress) | 35% | 12% | 2.9x | | Client visual quality (MS-SSIM) | 0.92 | 0.89 (with predictive fallback) | acceptable |

While the term might evoke a futuristic feline-inspired cyberpunk tool (think "cat-claw exit strategy" ), its technical underpinnings address a critical bottleneck in modern distributed 3D systems. Nekoken—loosely derived from the Japanese neko (cat) + ken (fist/sword)—refers in this context to a . The "3D" indicates the dimensionality of the data; the "egress" is the controlled departure of that data from a secure, managed environment (e.g., a cloud GPU cluster) to an untrusted or edge client. nekoken 3d egress

peerConnection.ondatachannel = (event) => if (event.channel.label === 'geometry-egress') egress.attachDataChannel(event.channel); egress.start(); // begins differential 3D streaming

// Client side (browser) const dc = peerConnection.createDataChannel('geometry-egress'); dc.onmessage = (event) => const delta = decodeMeshDelta(event.data); applyToScene(delta); ; ; | Metric | Baseline | Nekoken 3D

The cat’s claw retracts when not needed. Your 3D egress should do the same. Have you implemented view-adaptive 3D streaming? I’d love to hear your approach. Find me on GitHub or LinkedIn (link in bio).

A naive egress approach—simply opening a UDP hole from the GPU pod to the internet—leads to . peerConnection

Published: April 16, 2026 | Reading time: 12 min