Architectural Deep Dive

Comprehensive Spatial AI &
Neural Geometry Pipeline

Engineered from the silicon up for ultra-low latency spatial inference, high-fidelity polygonal mesh extraction, and real-time 4D Gaussian Splatting.

Engine 01 • 3D Diffusion

Watertight Polygonal Mesh Synthesis

Unlike point-cloud based generative systems that output non-manifold geometries, VoxelDyn's proprietary dual-marching-cubes diffusion model produces clean, subdivision-ready quad meshes with zero non-manifold edges.

Automated UV Unwrapping 0.4s Over-Segmented Atlas

Physically Based Rendering (PBR) Albedo, Roughness, Normal, Metallic

Polygon Target Control 5k (Mobile AR) to 250k (VFX CAD)

Topology Telemetry Benchmark

Manifold Completeness 100.0%

Texture Atlas Resolution 4096 x 4096 (4K)

Generation Time (EC2 P5) 3.8 Seconds

Spatial Splatting Metrics

Real-time FPS

144+ FPS

At 4K Stereo Vision

Training Time

8.4 mins

From 100 multi-view images

Memory Footprint

180 MB

Compressed .ply format

Temporal Kinematics

4D Ready

Dynamic deformation field

Engine 02 • Radiance Fields

Real-Time 4D Gaussian Splatting

Synthesize continuous photorealistic 3D environments from camera arrays and drone sweeps. VoxelDyn's CUDA 12.6 rasterization pipeline renders millions of 3D Gaussians at over 140 frames per second on enterprise GPUs and edge Jetson Orin devices.

• Sub-pixel volumetric radiance rendering
• Real-time camera trajectory synthesis for autonomous navigation
• Native USD & WebGPU rendering viewers

Engine 03 • Physical Simulation

Embodied Robotics Simulation & Isaac Sim

Physical AI requires accurate collision physics, mass moments of inertia, and tactile friction boundaries. VoxelDyn automatically generates convex hull decompositions, URDF kinematic trees, and USD physics definitions for autonomous robots.

Isaac Sim & Omniverse Export native .usd physics assets with rigid-body colliders.

MuJoCo & PyBullet Generate XML joint trees and frictional collision hulls.

URDF Physics Excerpt

<link name="voxeldyn_gripper_link">
  <inertial>
    <origin xyz="0 0 0.045" rpy="0 0 0"/>
    <mass value="0.850"/>
    <inertia ixx="0.0012" iyy="0.0015" izz="0.0008"/>
  </inertial>
  <collision>
    <geometry>
      <mesh filename="package://voxeldyn/assets/gripper_hull.obj"/>
    </geometry>
    <surface friction="0.82" restitution="0.05"/>
  </collision>
</link>

Engine 04 • Cloud Compute Tier

Enterprise AWS Accelerated GPU Stack

VoxelDyn Labs is built natively on Amazon Web Services infrastructure to guarantee sub-40ms spatial inference and high availability worldwide.

Amazon EC2 P5 & G5

Scalable GPU pools running NVIDIA H100 80GB and A10G Tensor Core GPUs orchestrated via Amazon EKS with auto-scaling inference endpoints.

AWS Inferentia2 & Trainium

High-efficiency neural inference silicon delivering up to 50% lower cost-per-inference and dedicated Neuron SDK optimizations for spatial AI diffusion.

Amazon S3 & CloudFront

Multi-region distributed storage with signed URLs for instant mesh delivery, coupled with CloudFront CDN points of presence across 450+ edge locations.

Ready to Integrate VoxelDyn APIs?

Start generating watertight 3D models and spatial intelligence today with our developer sandbox.