Creative Shield Technology Co. Ltd. runs the cloud behind ambitious teams — AI token infrastructure and enterprise compute, engineered for scale and built on trust.
Purpose-built infrastructure for the workloads that matter most to your business.
High-throughput inference infrastructure that turns models into products. Serve tokens at scale with predictable latency and cost.
Scalable compute for enterprise workloads — from steady-state services to burst-heavy pipelines — with security built in, not bolted on.
Data centres used to store files. Ours manufactures intelligence — converting power and GPUs into a continuous stream of AI tokens, the unit of production for every model, agent, and copilot you run.
Every prompt answered, document summarised, and agent action taken is billed in tokens — and demand is compounding faster than any forecast. Inference now accounts for the overwhelming majority of enterprise AI spend, and agentic workloads consume an order of magnitude more tokens than simple chat.
Our Token Factory is engineered around the economics that decide whether AI scales profitably: throughput, cost per token, tokens per watt, and utilisation. You bring the models and the demand; we run the production line — with transparent per-token metering, so you pay for intelligence produced, not idle hardware.
Scope your token workloadRaw energy and your data enter the factory — the feedstock of machine intelligence.
H200 and Blackwell-class GPUs run your models at maximum sustained throughput.
Text, code, images, and reasoning — produced, metered, and billed per token.
Low-latency APIs feed your products, agents, and copilots in real time.
Sustained throughput under real production load — not benchmark peaks.
Batching, caching, and quantisation tuned so every token costs less to make.
Performance per watt is the margin of a token factory. We optimise for it relentlessly.
Idle GPUs burn money. Scheduling keeps the production line running around the clock.
From frontier-scale inference to a supercomputer on a startup's desk — provisioned, managed, and ready when you are.
The memory monster of the Hopper generation. Built for large-model training and long-context inference where 80 GB simply isn't enough.
Blackwell's professional flagship. Run models up to ~70B parameters at FP16 on a single card, or fine-tune without leaving the workstation.
Blackwell performance at accessible scale — ideal for development, image and video generation, and cost-efficient inference of mid-sized models.
A Grace Blackwell AI supercomputer on your desk. Prototype, fine-tune, and run models up to 200B parameters locally — the ideal first step for smaller AI startups before scaling into our cloud.
Every configuration is priced for your workload. Review the core specifications below, then request a quote for the hardware you need.
| Product | GPU memory | Compute | Bandwidth / interconnect | Pricing |
|---|---|---|---|---|
| NVIDIA H200Hopper architecture | 141 GB HBM3e | Up to 3,958 TFLOPS FP8 | 4.8 TB/s · NVLink 900 GB/s | Get quote |
| NVIDIA RTX Pro 6000Blackwell architecture | 96 GB GDDR7 ECC | 24,064 CUDA cores | 1.79 TB/s · PCIe Gen 5 | Get quote |
| NVIDIA RTX 5090Blackwell architecture | 32 GB GDDR7 | 21,760 CUDA cores · 3,352 AI TOPS | 1.79 TB/s · PCIe Gen 5 | Get quote |
| NVIDIA DGX SparkGB10 Grace Blackwell | 128 GB unified | 1 PFLOP FP4 · models to 200B params | ConnectX-7 · 200 Gbps | Get quote |
Share your workload, scale, and growth plans. Our engineers respond within one business day with a clear, itemised proposal — no lock-in, no surprises.
Contact us for a quoteWhether you're scaling AI inference or moving enterprise workloads to the cloud, we'll help you plan it right.
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