Featured
projects
Explore a selection of GPU infrastructure,
AI acceleration and HPC projects we've delivered at scale
$COMPUTEX
$COMPUTEX
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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.
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GPU Cloud
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AI Training
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HPC Clusters
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CUDA Dev
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Inference APIs
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MLOps
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NVIDIA A100
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H100 / H200
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PyTorch / JAX
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Kubernetes
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Distributed Training
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Edge Compute
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Uptime SLA across
all GPU clusters
Our capabilities
GPU Cloud Infrastructure
AI Model Training
CUDA Optimization
HPC Clusters
Edge GPU Inference
MLOps & Pipelines
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
PyTorch
TensorFlow
Kubernetes
Docker
Python
Triton
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.
Ready to scale your AI workload? Let's build it.