A100 / H100 / H200
High-performance GPU resources for mainstream training and inference workloads.
High-performance GPU Compute Resources
AI training and inference require strong compute support. ACME PURE deploys GPU compute centers in core mainland cities with A100, H100, H200, and other top-tier GPUs. Dedicated-line architecture ensures fast and stable cross-border access, with Macau node distribution for integrated compute scheduling.
High-performance GPU resources for mainstream training and inference workloads.
Stable compute pools for enterprise AI workloads such as model training, vision, and AI service.
Select configurations by project stage to avoid high upfront hardware investment.
Improve access stability between Macau and mainland compute nodes through dedicated lines.
Stable connectivity for continuous calls, batch tasks, and real-time inference.
Use Macau nodes for task distribution and coordinated cross-region compute scheduling.
Manage regional compute resources in one view for training and inference allocation.
Support parallel model training, data processing, and inference services.
Combine model sales, fine-tuning, and deployment services for integrated delivery.
Rent flexibly by project cycle and usage to reduce upfront investment.
Scale resources during training peaks and reduce configuration in stable periods.
Provide one-to-one deployment advice based on model size, data volume, and usage.
Cover GPU resources, dedicated networks, scheduling, flexible billing, security compliance, and consultant support.
A100, H100, and H200 top-tier compute supports training, fine-tuning, and inference.
Low-latency, high-speed cross-border connectivity improves access between Macau and mainland compute centers.
Manage domestic and overseas compute resources together for multi-workload, multi-team collaboration.
Rent on demand and scale flexibly to reduce hardware purchasing and idle-capacity costs.
Enterprise-grade data security and cross-border compliance support sensitive workloads.
Receive one-to-one deployment support from resource assessment through launch.
Break compute rental projects into four stages to reduce configuration, network, and deployment uncertainty.