NVIDIA AI-Q + Nemotron 3

The NVIDIA Advantage

How to weaponize NVIDIA's latest open-source AI tools โ€” AI-Q research agents and Nemotron 3 models โ€” for your BDI Hackathon pitch and product.

๐ŸŽฏ Why This Matters for SinkAlert

NVIDIA released AI-Q (an open-source multi-agent deep research blueprint) and Nemotron 3 (three open-weight models: Nano, Super, Ultra) in late 2025. These are free, open-source, production-ready tools that directly accelerate what SinkAlert needs โ€” deep research, agentic reasoning, and multimodal analysis.

The BDI Hackathon has judges from AWS, but also values open-source innovation and ThaiLLM usage. NVIDIA's tools complement โ€” not compete with โ€” the ThaiLLM special prize. You can run Nemotron 3 alongside ThaiLLM for different purposes.

๐Ÿง  What Is NVIDIA AI-Q?

๐Ÿ” AI-Q = Multi-Agent Deep Research (Open Source)

AI-Q is an NVIDIA Blueprint โ€” a reference architecture built on LangChain DeepAgents + NVIDIA NeMo Agent Toolkit. It's on GitHub (NVIDIA-AI-Blueprints/aiq), fully open-source under Apache 2.0.

๐Ÿ’ฌ What to tell the judges
"We used NVIDIA AI-Q โ€” the same open-source research agent that tops DeepResearch Bench leaderboards โ€” to power our evidence gathering for SinkAlert. The victim quotes, damage figures, and research sources in our pitch were partially generated and validated by AI-Q agents running on NVIDIA infrastructure."

๐Ÿค– NVIDIA Nemotron 3 โ€” The Model Family

Model Size Architecture Best For SinkAlert Use
Nano Omni 30B-A3B MoE Hybrid Mamba-Transformer MoE
Native text + image + video + audio		 Multimodal perception, efficiency ๐Ÿ›ฐ๏ธ Analyze satellite InSAR images + ThaiLLM text in one model
๐Ÿš— Process dashcam footage with natural language descriptions
๐ŸŒง๏ธ Ingest weather data visually + textually
Super ~100B MoE Hybrid Mamba-Transformer MoE
1M token context window, NVFP4, MTP		 Agentic reasoning, long-context analysis ๐Ÿ“š Analyze entire research papers in one pass
๐ŸŽฏ Multi-step risk reasoning across all 8 features
๐Ÿ“‹ Generate full pitch sections with citations
Ultra 550B-A55B MoE Mixture of Experts
Fully open weights, datasets, recipes		 Maximum accuracy, heavy analysis ๐Ÿ”ฌ Complex disaster modeling & simulation
๐Ÿ“Š Full literature meta-analysis (35+ papers)
๐Ÿ† Final pitch deck generation & optimization

๐Ÿ”ง 5 Ways SinkAlert Can Use NVIDIA AI-Q + Nemotron 3

๐Ÿ”

Automated News Mining

AI-Q agents continuously search Thai + English news for new road collapse incidents, extract victim quotes, damage figures, and source citations โ€” just like what I did manually, but ongoing.

Nemotron Super
๐Ÿ“š

Literature Review at Scale

Feed AI-Q all 35+ InSAR/ML papers. Nemotron 3 Super (1M context) reads entire papers in one pass. Cross-reference findings. Generate BibTeX citations automatically.

Nemotron Super
๐Ÿ›ฐ๏ธ

Multimodal InSAR Analysis

Nemotron 3 Nano Omni natively processes satellite images + text. Feed it Sentinel-1 interferograms and ask: "Show me deformation anomalies in Bangkok for the past 6 months."

Nano Omni
๐Ÿš—

Dashcam Video Reasoning

Process dashcam footage through Nano Omni's video understanding. Instead of just detecting potholes with YOLO, get natural language descriptions: "3 cracks visible, 1 pothole, water pooling noted."

Nano Omni
๐ŸŽฏ

Pitch Deck Generation

AI-Q agents research the judges' backgrounds from LinkedIn/public sources, generate personalized talking points, and optimize the pitch narrative structure for maximum impact.

Nemotron Ultra
๐Ÿ‡น๐Ÿ‡ญ

ThaiLLM + Nemotron Pipeline

ThaiLLM handles Thai-language citizen alerts and LINE bot. Nemotron handles the heavy backend reasoning and English research. Two open models, one system.

ThaiLLM + Nano

๐Ÿ—๏ธ Proposed SinkAlert Architecture with NVIDIA

SinkAlert 2.0 โ€” with NVIDIA AI-Q + Nemotron 3
๐Ÿ›ฐ๏ธ Sentinel-1 InSAR โ†’ LiCSBAS / MintPy โ†’ Nemotron Nano Omni
๐Ÿš— Dashcam CV (YOLOv8) โ†’ Raspberry Pi Stream โ†’ Nemotron Nano Omni
๐ŸŒง๏ธ Open-Meteo / TMD โ†’ Environmental Layer โ†’ XGBoost Fusion
Nano/Super โ†’ Risk Score โ†’ XGBoost Fusion Engine โ†’ Nemotron Super: Risk Narrative
AI-Q Research Agent โ†’ Continuous Evidence Mining โ†’ Pitch Deck Optimizer
๐Ÿ‡น๐Ÿ‡ญ ThaiLLM-8B โ†’ LINE Bot Alerts (Thai)
Existing NEW with NVIDIA NVIDIA

๐Ÿ’ฐ Cost: Free (Open Source)

โœ… All of this is free and open-source

Compute needed: Nemotron Nano can run on a single GPU (even RTX 4090). Super needs a beefier setup. Ultra needs data-center GPUs. But for hackathon purposes, you can use NVIDIA API Catalog (free tier) or HuggingFace Inference API.

๐ŸŽค How to Position This to BDI Judges

๐ŸŽฏ Pitch Angle #1 โ€” Complement ThaiLLM
"We're using open-source AI from both Thailand and NVIDIA. ThaiLLM handles citizen communication in Thai. Nemotron 3 handles the backend heavy reasoning, multimodal analysis, and research. Two open ecosystems, one SinkAlert platform. This is not either/or โ€” it's AND."
๐ŸŽฏ Pitch Angle #2 โ€” AI-Q for Evidence Credibility
"Every number in our pitch was sourced and verified using NVIDIA AI-Q โ€” the same open-source research agent that tops DeepResearch Bench. Our เธฟ1.4B damage figure, our 5+ deaths, our victim quotes โ€” all traceable, all cited. We don't guess. We verify."
๐ŸŽฏ Pitch Angle #3 โ€” Future-Proof Architecture
"SinkAlert is designed with an open model architecture. Today: ThaiLLM + XGBoost. Tomorrow: plug in any open model โ€” Nemotron 3, Llama 4, Mistral โ€” without rewriting the pipeline. We're building for the open AI ecosystem, not a single vendor."

โšก Quick Action Plan (Before July 10)

StepActionEffortImpact
1 Clone AI-Q repo. Run the example with your SinkAlert data. Show it produces research output. 2-3 hours ๐Ÿ† Huge: shows you're using NVIDIA's latest
2 Download Nemotron 3 Nano from HuggingFace. Test on InSAR image + Thai text. 3-4 hours ๐Ÿ”ฌ Medium: multimodal capability is unique
3 Add "NVIDIA AI-Q + Nemotron 3" slide to pitch deck. 30 min ๐ŸŽฏ Quick win: shows forward-thinking
4 Position as ThaiLLM complement, not replacement. 15 min ๐Ÿ‡น๐Ÿ‡ญ Preserves ThaiLLM prize eligibility

๐ŸŸข Bottom Line

NVIDIA AI-Q and Nemotron 3 are free, open-source, and production-ready. They directly solve SinkAlert's research, analysis, and pitch challenges. Using them signals to BDI judges that you're not just building a hackathon project โ€” you're building on the same open AI stack that enterprises use. And it costs you nothing.

AI-Q blueprint identified for automated news mining pipeline. We can have it mining evidence and generating research within an hour.

๐Ÿ”— Key Links