NVIDIA AI Adoption Roadmap

Accelerating halal intelligence with NVIDIA GPUs and AI SDKs.

Over the next 6–12 months, we plan to leverage NVIDIA AI technologies to build trustworthy, scalable and production-ready AI services for the global halal ecosystem.

Powered by NVIDIA AI

CUDA • NeMo • NIM • TensorRT • Triton • RAG • Knowledge Graph

Technology roadmap

Months 1–3

AI Infrastructure Setup

Deploy GPU-based AI development environment using CUDA, AI containers and scalable model experimentation workflow.

Months 3–6

Domain-Specific Halal LLM

Use NVIDIA NeMo and NVIDIA NIM to develop AI Halal Assistant, Ingredient Intelligence and Certification Copilot.

Months 6–9

Production AI Platform

Use NVIDIA Triton Inference Server and TensorRT for production serving, enterprise APIs and optimized inference.

Months 9–12

Multimodal AI Expansion

Expand to Vision AI, OCR, RAG and Knowledge Graph. Explore NVIDIA Riva and Omniverse for future voice assistant and supply-chain simulation.

Planned AI Architecture

A scalable, explainable AI architecture for halal certification, compliance and verification.

Users→Ruanghalal AI Platform→API Gateway→NVIDIA NIM→Domain LLM→RAG→Knowledge Graph→Halal Knowledge Base

Expected outcomes

Scalable AI Platform

Production-ready halal intelligence services for enterprises and institutions.

Faster Certification

AI-assisted workflows that reduce manual bottlenecks and improve consistency.

Trusted Verification

Real-time product, ingredient and certificate verification for global users.