AI Super Computer Laboratory

Where KMITL's Compute Power Meets Human Curiosity

K-NOWKMITL Nexus Of Wisdom — is the AI supercomputing laboratory of the Department of Computer Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang. We fuel next-generation teaching, research, and innovation with GPU-scale infrastructure.

24/7
GPU Cluster Uptime
3
Core Missions
10+
Research Domains
100%
CE-KMITL Owned
K-NOW logo

A Nexus Built for Wisdom, Powered by AI

K-NOW (KMITL Nexus Of Wisdom) is a dedicated AI supercomputing laboratory established by the Department of Computer Engineering to accelerate discovery across the university. It brings high-performance GPU computing directly to students, faculty, and industry partners.

More than infrastructure, K-NOW is a hub where classrooms, research labs, and startups converge — turning raw compute into applied intelligence for Thailand and beyond.

Deep Learning Large Language Models Computer Vision High-Performance Computing Intelligent Automation Systems
01
King Mongkut's Institute of Technology LadkrabangThe Institution
02
School of EngineeringFaculty
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Department of Computer EngineeringDepartment
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K-NOW AI Super Computer LabFacility

Infrastructure Engineered for Scale

A dedicated AI supercomputing environment designed to support demanding training workloads, large-scale simulations, and real-time inference for the KMITL community.

GPU Cluster
High-Density Compute Nodes
Multi-node GPU infrastructure built for deep learning training and large-model workloads.
Elastic Storage
High-Throughput Data Pipeline
Fast parallel storage keeps massive datasets moving at the speed research demands.
Low-Latency Network
High-Bandwidth Interconnect
Optimized networking fabric for distributed training and multi-node communication.
Secure Access
Managed Research Environment
Role-based access and isolated environments for coursework, labs, and industry projects.

Three Missions, One Infrastructure

K-NOW exists to serve the full lifecycle of applied AI — from the classroom to the lab bench to real-world deployment.

01

Teaching & Learning

Hands-on GPU access for coursework, capstone projects, and workshops — giving students real infrastructure to build real AI systems, not just theory.

02

Research

Faculty and graduate researchers push the boundaries of machine learning, computer vision, NLP, and large-scale systems using dedicated compute resources.

03

Innovation

Startups, spin-offs, and industry collaborations prototype and validate AI products with production-grade compute, before scaling beyond the lab.

Where the Compute Gets Put to Work

K-NOW supports a wide spectrum of AI disciplines across the department and its partners.

Computer Vision

Image recognition, detection & scene understanding.

NLP & Large Language Models

Thai & multilingual language model research.

Intelligent Automation Systems

Intelligent control, perception and autonomy.

Data Science & Analytics

Predictive modeling and large-scale data mining.

Healthcare AI

Diagnostics, medical imaging and bio-signal analysis.

Distributed & HPC Systems

Parallel computing and scalable AI infrastructure.

How to Work With K-NOW

Whether you're a student, researcher, or industry partner, here's how to plug into the lab.

1

Reach Out

Contact the department with your course, research, or partnership goals.

2

Define Scope

We align compute needs with your project — teaching, research, or prototyping.

3

Get Access

Onboard onto the GPU cluster with a secured, managed environment.

4

Build & Publish

Train, experiment, and ship — from classroom projects to publications and products.

KMITL
King Mongkut's Institute of Technology Ladkrabang
Engineering
School of Engineering
CE
Dept. of Computer Engineering
AI
Super Computer for AI

Let's Build the Next Wave of AI Together

Students, faculty, and industry partners — reach out to explore collaboration, access, or a visit to the K-NOW lab.

Contact the Department →
LocationDepartment of Computer Engineering, School of Engineering, KMITL, Bangkok, Thailand