Built on NVIDIA CUDA 12 · RTX-ready

Every dimension.
Rendered in real time.

cuda.bg is a web app for exploring massive 3D scenes and razor-sharp 2D visualizations — driven by a CUDA-native engine tuned for NVIDIA GeForce, RTX Pro and data-center GPUs.

No install Runs in your browser CUDA 12 · WebGPU display
Imports glTF 2.0OBJSTEPFBX PLYCSVParquetEXR
120 fps viewport
CUDA 12.x
RTX ON
0×
faster than CPU rendering
0M+
primitives per scene, real time
<0 ms
to first interactive frame
0K
output, frame-accurate export
Capabilities

One engine. Every visual dimension.

From photoreal assemblies to billion-point charts — everything renders on the GPU, never on a spinner.

Real-time 3D engine

Orbit, section, explode and annotate huge CAD assemblies and meshes with PBR materials and RTX-accelerated ray tracing.

Precision 2D visualization

Charts, heatmaps, schematics and vector overlays rasterized on the GPU — infinite zoom with zero blur.

CUDA-native pipeline

Every stage — tessellation, LOD, ray tracing, denoising — is a kernel hand-tuned for NVIDIA SM architectures.

Multi-GPU scaling

Pool several NVIDIA GPUs into one canvas. NVLink-aware scheduling splits frames and tiles automatically.

Massive datasets, zero lag

Out-of-core streaming and GPU-side LOD keep billion-point point clouds and multi-GB models interactive.

Share & embed anywhere

Publish a live link, embed in your own app, or export PNG, EXR, MP4 and glTF at production quality.

Performance

Benchmarks that speak in frames.

Representative results on a GeForce RTX 4080 vs. a 16-core CPU workstation.

CPU · 16-core cuda.bg · RTX 4080
Scene load · 2 GB CAD assembly
CPU
41.2 s
cuda.bg
0.9 s
4K path-traced frame
CPU
18.6 s
cuda.bg
0.15 s
Time to interactive · 50M-point cloud
CPU
22.8 s
cuda.bg
1.3 s
Bars on a log scale — the real gap doesn't fit on the screen.
Workflow

From file to fluid in three steps.

01

Drop in your data

glTF, OBJ, STEP, FBX, PLY, CSV or Parquet — upload a file or stream continuously over the API.

02

The CUDA engine takes over

Geometry is compiled into GPU-resident buffers. Kernels handle tessellation, LOD generation, ray tracing and denoising.

03

Explore, share, ship

Interrogate your model at 120 fps in the browser, publish a live link, or export frames and video.

Hardware

Tuned for the NVIDIA stack.

cuda.bg speaks CUDA first — optimized for Ada and Blackwell architectures, from your desk to the data center.

GeForce

GeForce RTX 50 / 40 / 30 Series

From RTX 3050 to RTX 5090 — the full feature set with DLSS viewport upscaling for buttery interaction.

  • DLSS 3 / 4 viewport boost
  • 8 GB+ VRAM recommended
Workstation

NVIDIA RTX Pro / Quadro

RTX 6000 Ada, A6000, RTX A5000 — certified drivers and up to 48 GB frame buffers for monster assemblies.

  • Large-memory ECC configurations
  • Certified driver stability
Data center

L40S · A100 · H100

Server-side rendering and streaming for whole teams — your visuals never wait in a local queue again.

  • Multi-GPU frame distribution
  • NVLink-aware scheduling

Minimum: NVIDIA GPU with compute capability 7.5+ · Driver 555+ · CUDA 12.x runtime (bundled) · WebGPU-enabled browser. Heavy CUDA compute runs locally via the cuda.bg bridge, or on our RTX cloud — the web app handles the rest.

Stop waiting on render bars.

Start free — no credit card, no install. Bring a model, keep your sanity.