KAYTUS MotusAI Empowers Thai Enterprises to Accelerate Breakthroughs in 3D Visual Perception and Intelligent Innovation Development

A Case Study on High-Performance 3D Vision AI Training with KAYTUS MotusAI

In the era of smart factories, manufacturers require robust AI infrastructure to support 3D vision, robotics, and automated quality control. A leading manufacturing company in Thailand partnered with KAYTUS to deploy MotusAI—a scalable AI training platform designed to meet the needs of high-volume, high-precision 3D data processing. The result: accelerated model training, smarter scheduling, and reduced operational overhead.

Customer Overview

A leading manufacturing company in Thailand is at the forefront of smart manufacturing innovation. By deploying AI-driven automation across industrial robotics, production lines, and smart devices, the company is improving product quality, enhancing productivity, and accelerating time-to-market.

Project Background

To support expansion into AIoT, service robotics, and 3D scanning, the client required a next-generation AI platform. The legacy infrastructure was limited by poor scalability, long training cycles, and inefficient data handling—particularly for point cloud datasets that exceed 1TB per training instance. These limitations impeded the rapid iteration and deployment of 3D vision models critical to operational advancement.

Business Challenges

Heavy 3D Data & Long Training Cycles

• Large point cloud datasets caused long transfer times (2–3 hours per job)

• Legacy network data transfer bottlenecks slowed model training iteration development

Diverse Algorithms & Unpredictable Workloads

• Varied applications from AR to 3D reconstruction had fluctuating compute needs

• Static allocation led to resource underuse or overload

High Expansion and Maintenance Costs

• Traditional systems couldn’t scale efficiently with growing data

• R&D and operations faced the system management complexity, slowing down development and delivery

KAYTUS Solution

To tackle these challenges, KAYTUS deployed MotusAI—a smart, scalable platform for AI training in industrial settings.

Smart Resource Scheduling & Lifecycle Management

• Heterogeneous resource configuration and real-time tracking

• Lifecycle-aware optimization, usage analytics for better scheduling and resource utilization

Optimized Data Handling

• P2P image distribution and fast disk local caching reduced setup and training times by 50%

• Data-aware scheduling enhanced efficiency and throughput

Scalable Architecture with Resource Pooling

• KAYTUS AI servers and high-performance storage supported on-demand scale-out

• Sample scheduling efficiency improved by ~30% across training workflows

Simplified Operations & Reduced Labor Costs

• Automated fault recovery and centralized monitoring reduced ops workload

• Lower maintenance demands enhanced platform sustainability

Outcomes & Business Impact

• Faster Model Training: 3D model training times reduced by 50%, enabling quicker algorithm updates

• Better Resource Utilization: Smart scheduling reduced idle capacity

• Lower Ops Overhead: Simplified management reduced labor costs

• Broad Application Support: Enabled real-time deployment across AR, robotics, and scanning