GPU node
Project configurations specify the GPU variant, memory, CPU, RAM and interconnect when confirmed.
AI Clusters
Plan B200 configurations for distributed training and large-scale inference. Start with your workload and scale to 8, 16, 32 or more GPUs.
Cluster planning
8GPUs
16GPUs
32+GPUs
Cluster scale
Network bandwidth, RDMA, shared storage and scheduling can be scoped for distributed workloads.
Service scope
Deployment region, rental term, support and service levels are defined in the project agreement.
Project planning only. No live inventory, benchmark guarantee or committed delivery date is advertised.
WHY ZAOSEQ
Designed around the actual workload
See the full configuration
Compare GPU model and count, CPU, RAM, SSD, region, environment and the displayed hourly price before choosing a supply offer.
A path for research teams
We plan trial GPU hours and research pricing so students and laboratories can test a workload before discussing a larger project.
Procurement-aware support
We can discuss quotations, institutional details and supporting documents in advance. Orders of NT$3,000 or more are planned to include free postal delivery of a handwritten three-part invoice once the service opens.
Service, trial, discounts and invoicing are being prepared; current supply cards are examples, not available inventory or binding offers.
INQUIRIES
Talk to ZaoSeq