AI Infrastructure

AI Infrastructure

GPU clusters, ML pipelines, and scalable compute built for serious AI workloads. We design and operate the infrastructure that trains and serves your models — on-premise or cloud — for organizations across Thailand.

GPU Cluster — 4× NVIDIA A100GPU0GPU1GPU2GPU3GPU Memory Usage71%Training ActiveEpoch 47/100Throughput12.4K tok/s

Key Features

GPU Clusters

Provision and manage GPU compute for training and high-throughput inference.

ML Pipelines

Reproducible pipelines for data prep, training, and deployment.

Model Serving

Low-latency, scalable serving for production AI workloads.

On-Prem or Cloud

Deploy where your data and compliance needs require — including data sovereignty.

Our Process

1

Requirements

Size workloads, throughput, and data-residency requirements.

2

Architecture

Design GPU, storage, and networking topology for your AI needs.

3

Build

Provision compute, pipelines, and serving infrastructure.

4

Operate

Monitor utilization, cost, and performance, and scale as needed.

Technology Stack

NVIDIA GPUKubernetesRayKubeflowMLflowTritonSlurmS3

Key Benefits

Compute sized to your AI workloads
On-premise option for data sovereignty
Reproducible ML pipelines
Low-latency model serving
Cost-aware GPU utilization
Scales from pilot to production

Frequently Asked Questions

Do you provide GPU compute?+

Yes — GPU clusters for model training and high-throughput inference.

Can it run on-premise?+

Yes — on-premise for data sovereignty, in the cloud, or hybrid.

Do you manage ML pipelines?+

Yes — reproducible pipelines for data preparation, training, and deployment.

Ready to get started?

Talk to our team and get a free consultation tailored to your business.

Schedule a Consultation