AI INFRASTRUCTURE

Compute, matched to the pace of the business.

The hard part of AI infrastructure is not buying GPUs — it is keeping them running. Nodes fail, interconnects congest, and training jobs die at three in the morning. What we take on is the design that accounts for the aftermath.

GPU cluster design & build

Node topology, InfiniBand NDR / HDR fabric, rack layout, power and cooling for NVIDIA H100 / H200 / B200 generations. From 8-GPU validation environments to 128-GPU training clusters; larger builds are delivered jointly with partners.

Bare-metal GPU capacity

Dedicated bare metal or logically isolated tenancy, provisioned on partner data centre and GPU cloud capacity. Billed hourly or as monthly reserved capacity, with the option to keep the entire footprint inside Japan.

Data centre selection & high density

We select domestic facilities capable of 30–80 kW per rack and handle power contracts, cooling approach (air or liquid) and physical delivery logistics.

Schedulers & storage

Job management on Slurm or Kubernetes + Kueue, with Lustre / WEKA / Ceph distributed storage configured against the actual read-write profile of the workload.

Monitoring & SRE operations

Continuous monitoring of node temperature, ECC errors, NVLink / IB link state and job failure rates, with automatic isolation and rescheduling of failed nodes. We hold first response.

Hybrid topologies

The client's own capacity carries baseline load; public cloud absorbs the peak. This avoids buying GPUs that exist only to serve the peak.

Problems this solves

Training queues are long enough that the research cycle no longer turns
GPUs were purchased but utilisation is low and depreciation has no clear path
There is no internal basis for deciding between on-premise and cloud
Operations staff cannot be hired, and incident response depends on one person

Specifications

GPUs	NVIDIA H100 / H200 / B200, L40S, A100 (including continued use of existing assets)
Cluster scale	8 to 128 GPUs delivered by YOLAIZ alone; larger builds are delivered jointly with data centre operators and systems integrators
Interconnect	InfiniBand NDR 400G / HDR 200G, RoCEv2
Storage	Lustre / WEKA / Ceph; two-tier NVMe all-flash plus capacity tier
Schedulers	Slurm, Kubernetes + Kueue, Ray
Siting	Partner data centres in Japan (Greater Tokyo, Kansai), 30–80 kW per rack
Uptime target	99.5% monthly, excluding planned maintenance

Bring us in while it is still an idea.

The most common questions we receive are "how many GPUs should we buy" and "should we own or rent". We welcome conversations long before requirements are settled.

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