NVIDIA Developer Pipeline Demo

Target Stack NIM + Triton + Nsight developer workflow

3D Pipeline OpenUSD + Omniverse asset validation

Cost Signal 38% estimated savings

Software Development Flow

AI inference deployment template

Demo ready

Model family Optimization path Batch size 16

Nsight profiling CI benchmark

84 deploy score

Latency 34 ms

Throughput 1,920 req/min

Recommended tools TensorRT, Triton, Nsight Systems

Train

Export

Optimize

Serve

Profile

NVIDIA Build API

Nemotron API lab

OpenAI-compatible

API key

Remember locally

Nemotron model Custom model id Prompt

Ready https://integrate.api.nvidia.com/v1/chat/completions

Enter an NVIDIA API key, then run a Nemotron request.

3D Modeling Pipeline

OpenUSD asset pipeline

Production sketch

Import

Blender, Maya, Unreal assets

Convert

OpenUSD Exchange SDK

Material

MDL SDK and texture checks

Simulate

Omniverse Kit, PhysX

Asset health 72%

Compute Cost Optimization

GPU right-sizing dashboard

Cost focused

GPU hourly cost Daily GPU hours 14 Average utilization 47%

Monthly baseline $1,008

Optimized estimate $625

Best next action Enable dynamic batching

DCGM

GPU telemetry, memory, power, utilization

GPU Operator

Kubernetes GPU lifecycle and monitoring

NVTX

Code-level markers for profiling traces

Repository Shape

GitHub project deliverables

Demo UI

Single-page dashboard with interactive estimates and pipeline state.

README

Portfolio narrative, NVIDIA tool mapping, roadmap, and demo script.

Next phase

Connect Nemotron responses, USD validators, and DCGM metrics exporters.