Knowledge3D

Sovereign GPU-native spatial AI with sub-100µs inference and tri-modal fusion.

GrowingOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Knowledge3D?

Knowledge3D is a sovereign, GPU-native spatial AI architecture featuring PTX-first cognitive engine, tri-modal fusion (text/visual/audio), and 3D persistent memory. It offers sub-100µs inference times and procedural knowledge compression at a 69:1 ratio, making it ideal for high-performance applications requiring real-time processing.

Key differentiator

Knowledge3D stands out as the only GPU-native spatial AI framework offering sub-100µs inference times with tri-modal fusion capabilities, making it uniquely suited for high-performance real-time applications.

Capability profile

Strength Radar

Sub-100µs infere…Procedural knowl…Tri-modal fusion…3D persistent me…Zero external de…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Sub-100µs inference times

Procedural knowledge compression (69:1 ratio)

Tri-modal fusion for text, visual, and audio data

3D persistent memory ('Houses')

Zero external dependencies for core inference paths

Fit analysis

Who is it for?

✓ Best for

Teams building real-time spatial AI apps who need sub-100µs inference times

Projects requiring high-performance multi-modal data processing (text/visual/audio)

Developers working on sovereign GPU-native architectures with minimal external dependencies

✕ Not a fit for

Applications needing cloud-based deployment and management services

Teams preferring a wide range of supported languages and frameworks beyond C++

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with Knowledge3D

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →