Nvidia GPU based toolkit

Digital Twins, like real world twins, it is a exact duplicate model for testing when the main physical copy is not accessible.
- in addition, digital twins also updates with the main physical copy, anythings happen to main one, the digital twin one update to the same.
nivida omniverse is the tool to simulate the real world, to build digital twins,
- its tutorials: https://docs.omniverse.nvidia.com/plat_omniverse/common/video-list.html
- it bridge realtime collaboration between different users and different graphic softwares.
- omniverse audio2face: to generate face animation from audio
- nvidia OVX server provide hardware support to build larget scale digital twins
- omniverse system: digital twins+ robotics; design +content creation; integration; rendering; sensors; asset lib;
  - AI: drive, ISAAC (for move+manipulate stuff), metropolis (auto infrastructure), holoscan (robotic medical)
  - replicator: generate + train synthetic data for train+test AI model
  - omnigraph, behavior, animation: run data center scale 3d application
  - avatar (wip): build digital humans
  - nvidia open source Material Definition Language (MDL): https://developer.nvidia.com/rendering-technologies/mdl-sdk

Nvidia MDL

1st Gen: VkRay, DXR, DLSS1
2nd Gen:
- real-time denoise: spatial denoise
- caustics
- RTXDI: raytrace direct illumination, casting shadows from all lights, emissive surface
- RTXGI: real-time multiple bounce indirect lighting
- Reflex
- DLSS2: deep learning super resolution, AI generat pixel
3rd Gen:
- Displaced micro-meshes
- 2D SGM optical flow, shader execution reordering, real-time path tracing, opacity micro-maps,
- DLSS3: deep learning super resolution, AI frame generator

large language model: enable single model to do various different task with one single model, context aware output. like text related, image related.
NeMo LLM service, Prompt learning framework, to promp learn with pre-trained LLM for specific task.
recommed system: like in shopping, social network