AI Infrastructure

GPU compute,
anchored in Auckland

Bare-metal GPU clusters, regional data centres and a model token API — one local partner for the whole stack, on infrastructure we own and operate end to end.

99.9%Cluster uptime SLA
5 minAverage provisioning
4Regions, APAC & Europe
200GbpsRDMA fabric
Why Warner

Built by network people, not resellers

We already run fibre, voice and managed IT across New Zealand — compute sits on the same engineering team.

Data stays on home soil

The Auckland node keeps training data and inference inside New Zealand — no offshore transfer for privacy-sensitive work.

Infrastructure, not markup

We own the racks, the fabric and the peering. That is why provisioning takes minutes instead of weeks.

Engineers who answer

Chinese and English speaking architects on the same 24-hour response promise as the rest of our business.

In production

What customers run on it

Case 01 · Foundation model pretraining

A large language model startup

Their own data centre capped training at 64 GPUs. We deployed a 512-GPU H800 bare-metal cluster with 3D parallelism and a self-healing scheduler that recovers failed nodes in minutes.

45→18days per pretraining run
37%lower cost per token
512GPUs in one cluster
Case 02 · Perception training

An autonomous driving team

Sensor labelling, training and simulation rendering with sharp demand peaks. An elastic A800 cluster plus parallel file storage let them scale weekly instead of quarterly.

200TB+sensor data per day
3.2×rendering throughput
Weeklyelastic scaling

Tell us what you need to run

Whether it's a thousand-GPU training cluster, a regional deployment or a token API integration, our architecture team replies with a proposal and quote within 24 hours.

Book a technical consultation