Elastic GPU capacity
GPU clusters sized for training, fine-tuning, inference, rendering, and data-intensive application workloads.
Compute Cloud Services
Elastic infrastructure for demanding AI workloads.
Scale GPU and CPU capacity across owned and partner data center infrastructure, with deployment, connectivity, monitoring, and managed operations aligned to production requirements.
Integrated infrastructure
From capacity
to production.
Compute cloud services combine elastic resources with the physical, network, and operational layers required to run AI workloads reliably.
CPU compute
General-purpose and high-performance CPU resources for preprocessing, orchestration, simulation, and application services.
AI-ready rack space
High-density infrastructure with advanced cooling, resilient power design, and deployment planning.
Connectivity
Regional and cross-border networking designed to connect applications, clouds, storage, and compute capacity.
Hybrid-cloud integration
Dedicated compute connected with supported public-cloud and customer-controlled environments.
Managed operations
Capacity coordination, monitoring, incident support, and ongoing technical management.
Workload coverage
One infrastructure layer.
Multiple AI workloads.
Resource profiles and operational support can be aligned to different workload stages, from early experimentation through sustained production demand.
Training and fine-tuning
Scale-out GPU capacity, high-throughput data access, and deployment support for model development workloads.
Inference and reasoning
Capacity for latency-sensitive and high-concurrency model serving with monitoring and scaling support.
Image and media generation
Accelerated compute for visual generation, rendering pipelines, and creative SaaS production workloads.
RAG and data applications
Integrated compute, storage, and networking for retrieval, indexing, and knowledge-intensive applications.
Regional capacity
Six strategic markets.
One managed service layer.
Cubicspace coordinates owned and partner infrastructure across Malaysia, the United States, Thailand, Indonesia, Brazil, and Australia.
Explore the data center map