Depolyment on AI Server

We design, source, configure, and deploy GPU-accelerated infrastructure built for your AI workloads. Whether you’re training large language models or running inference at the edge, C2 Computer delivers production-ready AI server clusters — fast.

Why AI Infrastructure Matters

AI is reshaping how businesses operate — but the hardware behind it is complex. GPU availability, thermal design, power density, high-throughput networking, and storage bottlenecks can make or break your AI initiative.

C2 Computer takes the guesswork out. We handle the full lifecycle: architecture design, hardware procurement, system configuration, deployment, and post-launch support. You focus on your models. We handle the metal.

Lay the foundations for successful innovation

Create an innovative business culture

Business Structure Development

Find the right innovation projects for your business

Let's Develop Together

Support: (852) 3008-3088

Data Analytics & MLOps

Infrastructure for data preprocessing, model training, and production MLOps pipelines — integrated with your existing stack.

Vendor-Agnostic Advice

We’re not locked to one brand. We recommend what fits your workload and budget.

Real Expertise

Our team understands GPU interconnects, memory bandwidth, and thermal constraints. Not just box-pushers.

Fast Sourcing

Deep inventory and strong vendor relationships mean shorter lead times on critical components.

Asia-Pacific Logistics

Based in Hong Kong with global shipping capabilities. We serve clients across APAC and beyond.

GPU Servers & AI Workstations

• NVIDIA HGX / PCIe GPU servers (H100, H200, B200) • Multi-GPU configurations (2/4/8/16 GPU nodes) • Custom AI workstations for research & development teams • Liquid-cooled options for maximum density

High-Performance Networking

• InfiniBand and high-speed Ethernet (100G/400G) • Low-latency interconnects for distributed training • NVIDIA Magnum IO / Spectrum-X ready architectures

AI Storage Solutions

• NVMe flash arrays for fast data pipelines • High-capacity object storage for training datasets • Parallel file systems (Lustre, WekaIO) for large-scale AI

Our approach

Our Deployment Process

Consultation & Workload Analysis

We start by understanding your use case — model size, dataset volume, latency requirements, concurrent users, and growth projections. No generic recommendations.

Architecture Design

Our engineers design a complete infrastructure blueprint: server specifications, GPU configuration, network topology, storage hierarchy, power and cooling requirements, and software stack recommendations.

Legal Business Formation

Clients have to form a legal structure for their business. Consultants advice on options such as sole proprietor, corporation, LLC, and the pros and cons of it. They also help with other accounts such as banking.

Configuration & Integration

Rack assembly, BIOS/firmware tuning, GPU driver installation, CUDA toolkit setup, container runtime configuration (Docker, Kubernetes), and framework deployment (PyTorch, TensorFlow, vLLM).

On-Site or Remote Deployment

We deploy to your data center, colocation facility, or private cloud. Includes burn-in testing, performance benchmarking, and network validation.

Ongoing Support

Hardware warranty management, firmware updates, capacity planning, and rapid-response troubleshooting. We don't disappear after deployment.

how it work?

Our Consulting Process

We provide the best services, ensuring your outstanding growth

Discussion

We meet customers in set place to discuss the details about needs and demands before proposing a plan.

Ideas & concepts

Our experts come up with all kinds of ideas and initiatives for delivering the best solutions for IT services chosen.

Testing & Trying

After agreeing on the ideas and plans, we will conduct as scheduled and give comments on the results.

Execute & install

Once the final plan is approved, everything will be conducted according to the agreed contract.

Ready to Build Your AI Infrastructure?

7/F, Tower 1, Enterprise Square 1, 9 Sheung Yuet Rd.,
Kowloon Bay, Hong Kong

Call Consulting: (852) 3008-3088

Frequently Asked Questions

Some frequently asked questions about the service that you may have questions about

What GPUs do you support?

NVIDIA H100, H200, B200, A100, L40S, A2, and legacy models. We also support AMD Instinct accelerators on request.

Can you help with cloud vs. on-prem decisions?

Absolutely. We'll analyze your workload patterns and TCO to recommend the right mix of cloud and on-prem infrastructure.

Do you provide software setup?

Yes — we configure the full stack: OS, drivers, CUDA, container runtimes, and ML frameworks. We can also assist with MLOps tooling.

What's the typical lead time?

In-stock configurations can deploy within 1–2 weeks. Custom large-scale clusters typically take 4–8 weeks depending on GPU availability.

Do you offer leasing or financing?

We work with financing partners to offer flexible payment options for qualifying projects. Ask us for details.

Can you support deployments outside Hong Kong?

Yes. We ship and deploy across Asia-Pacific, and can coordinate remote deployments globally.

See More And Ask Questions With Us!