Within the node
Confirm GPU variant, per-GPU memory, CPU, RAM and the actual GPU interconnect. Hardware names alone do not establish topology.
AI Clusters
Plan H100, H200, B200 or B300 configurations for distributed training and large-scale inference. Start with your workload and scale to 8, 16, 32 or more GPUs.
8GPUs
16GPUs
32+GPUs
Across the cluster
Assess network bandwidth, RDMA support, shared storage and scheduling against the training or inference plan.
Before delivery
Agree deployment region, validation criteria, rental term and support scope. Capacity and service levels require a written agreement.
Project planning only. No live inventory, benchmark guarantee or committed delivery date is advertised.
LET’S BUILD THE CONNECTION
Talk to ZaoSeq