AI inference
Serve trained models in production with low latency and capacity that scales with demand.
- GPU-backed model serving
- Autoscaling for traffic peaks
- Deployment close to your users
- Monitoring and usage reporting
Power what's next
GPU compute for inference, training and the cloud you already use
HKY Holdings sources and manages the compute behind your AI — from serving models in production to training them — and resells cloud services with simpler billing and local support.
Compute that fits the workload, not the other way round
AI teams lose time and budget to GPU shortages, unpredictable bills and infrastructure they never wanted to manage. We take that off your plate.
GPUs when you need them
Capacity for inference and training sourced across multiple providers, so one vendor's shortage doesn't stall your roadmap.
Costs you can predict
Clear monthly pricing and one invoice across cloud accounts, with right-sizing so you only pay for the compute you use.
Managed end to end
We set up, monitor and support the environment, so your engineers spend their time on models and products.
Services
Three ways we help — use one, or combine them.
Model training
GPU clusters for training and fine-tuning, booked for the length of the job rather than locked into long contracts.
- Multi-GPU training clusters
- Fine-tuning of open models
- Short-term and reserved capacity
- Data and checkpoint storage
Cloud services resale
Buy compute, storage and networking from established cloud providers through us — one invoice, one point of contact.
- Consolidated billing
- Account setup and migration help
- Cost reviews and right-sizing
- Local support in your time zone
How it works
A short, practical process from first call to running workloads.
Scope
We review your models, data and traffic to understand what the workload needs.
Plan
We recommend GPU types, providers and pricing that match your performance and budget.
Deploy
We provision the environment and help move your workloads onto it.
Operate
Ongoing monitoring, support and regular cost reviews as you grow.
FAQ
What's the difference between inference and training?
Training teaches a model from data and needs large bursts of GPU power. Inference runs the finished model to answer real requests, and needs steady, low-latency capacity. We provide both.
Do I need a long-term contract?
No. Training capacity can be booked per job, and inference and cloud services are billed monthly. Reserved options are available if you want a lower rate.
Can you take over our existing cloud accounts?
Yes. We can bring existing accounts under our billing, or set up new ones, and help migrate workloads where it makes sense.
Which regions do you cover?
We're based in Australia and work with clients across Asia-Pacific. Tell us where your users are and we'll recommend suitable locations.
Ready to power what's next?
Tell us what you're running and we'll come back with options and pricing.