Infrastructure for teams that train and serve models
infraOk runs infrastructure for AI and ML teams: GPU clusters that stay busy, training runs that survive failures, and inference that holds its latency and cost as usage grows.
What we hear from teams like yours
“The GPU bill is the second-largest line in the budget, after salaries.”
“Researchers wait for GPUs while a forgotten notebook holds four of them.”
“The demo was fast. Production latency is four seconds on a good day.”
“Every training run is set up by hand, so nobody can reproduce last month's best model.”
What's different about infrastructure for you
AI workloads break assumptions most cloud setups are built on. Training jobs run for days and need every GPU at once; inference needs fast startup and scales on queue depth rather than CPU. Capacity itself can be scarce, so planning ahead matters as much as autoscaling.
We build on Kubernetes because it lets training and serving share one set of tools, one scheduler and one bill you can break down by team. Your ML engineers keep working in PyTorch and notebooks. We make sure what they build runs the same way at scale.
Where we help
- AI Infrastructure
AI & LLM Infrastructure
GPU clusters, training pipelines and inference serving built around your models.
- Optimize
Cloud Cost Optimization
Spot capacity for training, rightsized serving, and a cost per request you can price against.
- Build
Platform Engineering & DevOps
Pipelines that take a model from commit to endpoint the same way every time.
Questions, answered
Does infraOk work with hosted model APIs as well as self-hosted models?
Yes. infraOk builds serving for self-hosted models with tools such as vLLM and KServe, and also the gateways, caching and monitoring around hosted model APIs.
Can infraOk help when GPUs are hard to get?
infraOk plans capacity across regions and providers, runs training on spot or preemptible GPUs that can resume from checkpoints, and helps you reserve serving capacity ahead of launches.
Get a free cloud assessment
Spend 45 minutes with a senior engineer and leave with three concrete improvements, whether or not you work with us.