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  • GPU Cloud

  • AI Training

  • HPC Clusters

  • CUDA Dev

  • Inference

  • NVIDIA A100

  • H100 / H200

  • PyTorch / JAX

  • Kubernetes

  • MLOps

👽 Hey! I’m Alex Chen, digital designer and illustrator based in San Jose, CA

GPU computing, AI acceleration, high-performance infrastructure

GPU Cloud

AI Acceleration

HPC Infrastructure

Now accepting enterprise GPU deployments

$COMPUTEX

$COMPUTEX

$COMPUTEX

$COMPUTEX

Our GPU-first philosophy

From bare-metal NVIDIA A100 & H100 clusters to fully managed AI inference APIs — every layer of our stack is engineered for maximum throughput, 99.9% uptime, and enterprise-grade security. We partner with the world's leading AI labs, research institutions, and Fortune 500 companies to power the next generation of intelligent systems.

  • GPU Cloud

  • AI Training

  • HPC Clusters

  • CUDA Dev

  • Inference APIs

  • MLOps

  • NVIDIA A100

  • H100 / H200

  • PyTorch / JAX

  • Kubernetes

  • Distributed Training

  • Edge Compute

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Enterprise clients
powered by Computex

GPU Infrastructure
GPU Tech
GPU Tech

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Uptime SLA across
all GPU clusters

Data Center

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GPU nodes deployed across our global infrastructure

GPU Cluster

0

AI workloads
processed daily

Circuit Board

Our capabilities

Project Preview

GPU Cloud Infrastructure

/ 01
GPU Server Room
Project Preview

AI Model Training

/ 02
GPU Server Room
Project Preview

CUDA Optimization

/ 03
GPU Server Room
Project Preview

HPC Clusters

/ 04
GPU Server Room
Project Preview

Edge GPU Inference

/ 05
GPU Server Room
Project Preview

MLOps & Pipelines

/ 06
GPU Server Room

Our Track Record

GPU Infrastructure Engineer

in the NVIDIA Partner Program member

Designed and deployed multi-node GPU clusters for enterprise AI training workloads.

2019 - 2021

Senior CUDA Engineer

in the Computex agency

Developed custom CUDA kernels and optimized transformer model inference pipelines.

2021 - 2024

Head of Cloud GPU Operations

in the Computex agency

Leading the global GPU cloud platform — scaling from 64 to 1024+ GPU nodes across 3 data centers.

2024 - now

Our GPU
tech stack

NVIDIA CUDA

NVIDIA CUDA

PyTorch

PyTorch

TensorFlow

TensorFlow

Kubernetes

Kubernetes

Docker

Docker

Python

Python

Triton

Triton

Prometheus

Prometheus

Certifications
& Partners

NVIDIA DGX-Certified Partner

course by NVIDIA Corporation

Certified to deploy and manage NVIDIA DGX SuperPOD systems for enterprise AI workloads.

2015 - 2016

AWS Advanced Technology Partner

course by Amazon Web Services

Recognized AWS partner for GPU-accelerated cloud computing and EC2 P4d/P5 instance deployments.

2019 - 2021

ISO 27001 Certified Infrastructure

course by Bureau Veritas

Enterprise-grade security certification covering our GPU data centers and cloud operations.

2022

GPU Insights

Deep dives into GPU architecture, AI infrastructure, CUDA optimization, and the future of high-performance computing. Written by our engineers, for engineers.

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