Coupang Builds 'AI Factory' with NVIDIA, Accelerating the Future of E-Commerce Logistics

Coupang and NVIDIA Unveil AI Factory Initiative

Coupang NVIDIA Collaboration on 'AI Factory' Is Powering the Future of E-Commerce Logistics

Coupang and NVIDIA highlight new AI innovations

On March 17, 2026, South Korea's largest e-commerce company Coupang presented the results of its "AI Factory" built in partnership with NVIDIA at the NVIDIA AI Conference & Expo. Coupang's VP of Engineering, Ashish Suryavanshi, took the stage to explain how AI innovation is accelerating across the company's entire e-commerce logistics and delivery services.

The AI Factory is a self-service AI ecosystem combining Coupang Intelligent Cloud (CIC), launched in July 2025, with NVIDIA DGX SuperPOD. It provides an environment where globally distributed engineering teams in Seattle, Mountain View, and elsewhere can rapidly test and build new AI models.

Industry Trends

In the e-commerce industry, AI utilization — from inventory placement in fulfillment centers to delivery route optimization — has entered an era where it determines competitiveness. Since its founding in 2010, Coupang has invested billions of dollars in end-to-end technology and logistics infrastructure. Integrating AI, custom robotics, and cutting-edge technology, the company operates its "Rocket Delivery" same-day delivery service across 190 countries and territories, including the United States.

For NVIDIA, e-commerce logistics represents a key use case for "AI Factories." The company announced the inference framework "NVIDIA Dynamo" at GTC in March 2025, and in March 2026 released Dynamo 1.0 as a production-ready version. Coupang participates as a launch partner for this open-source software, and the partnership between the two companies symbolizes the cutting edge of AI infrastructure in e-commerce.

Coupang's technological innovation has been highly recognized externally. In March 2026, it was selected for LexisNexis's "2026 Global Top 100 Innovators" for the second consecutive year. Cumulative patent filings surged from 91 in 2015 to 3,919 in 2025, expanding the intellectual property portfolio at a remarkable compound annual growth rate of 45%.

Technical Architecture and Results of the "AI Factory"

CIC, built by Suryavanshi's team, is based on the "Paved Road" design philosophy. It aims to create an environment where data scientists and ML engineers can focus on model development without being bogged down by infrastructure complexity.

The AI Factory consists of a three-layer self-service platform. The top layer, where developers interact, provides CLI (Command Line Interface), API, and UI for intuitive model development, testing, and deployment. Through infrastructure abstraction, developers can focus on solving business challenges rather than managing GPU clusters.

As a concrete result, AI models built on CIC have significantly improved fulfillment center scheduling and bin packing (optimizing product packaging). GPU utilization improved from 65% to 95%, an approximately 46% increase. This goes beyond mere infrastructure efficiency — it directly improves customer experience through enhanced delivery prediction accuracy and inventory placement optimization.

Notably, Coupang is listed as a launch partner for NVIDIA Dynamo. Dynamo is an open-source framework specialized in agentic inference that efficiently orchestrates inference workloads across thousands of GPUs. Through distributed KV cache management and smart request routing, it reduces inference costs while improving throughput. In e-commerce logistics, this inference performance improvement directly translates to competitive advantage in real-time decision-making (demand forecasting, route optimization, inventory replenishment, etc.).

Impact on E-Commerce Businesses and How to Leverage

What the Coupang-NVIDIA partnership demonstrates is that AI utilization in e-commerce logistics has moved beyond "nice to have" to "can't compete without it."

The direction of infrastructure investment is changing. Self-managed GPU clusters are no longer an option exclusively for large companies. As GPU-as-a-Service (GPUaaS) models like CIC expand, mid-sized e-commerce businesses will also gain access to AI infrastructure. CIC is based in data centers near Seoul and also provides GPUaaS services externally.

Logistics optimization accuracy is improving by orders of magnitude. Bin packing and route optimization are transitioning from rule-based to machine learning-based approaches. The GPU utilization improvement from 65% to 95% demonstrated by Coupang means more inference processing can be executed with the same hardware investment — a metric directly linked to logistics cost reduction.

Fusion with agentic AI is beginning. With the emergence of NVIDIA Dynamo, the foundation for "agentic logistics" — where AI agents make real-time logistics decisions — is taking shape. Coupang's participation as a launch partner suggests that e-commerce logistics will be among the first large-scale applications of this technology.

Summary

Coupang and NVIDIA's "AI Factory" establishes a new benchmark for AI utilization in e-commerce logistics. The combination of proprietary cloud infrastructure (CIC) and NVIDIA's cutting-edge GPUs and inference framework has established a system for AI-optimizing operations across the entire chain from fulfillment to delivery.

Going forward, the key focus areas are how much Dynamo's production deployment improves decision-making speed in e-commerce logistics, and how broadly CIC's GPUaaS offering becomes available to other e-commerce businesses. This initiative originating from South Korea is set to accelerate AI infrastructure competition across the global e-commerce industry.