Train with IOTA
Bring the workload. We deliver the result.
The managed route to disaggregated training. You bring a defined workload, we take it from qualification through to a finished, reported outcome.
The managed training principle
You own the outcome. We run the training.
You do not need a distributed-systems team to get a model trained across disaggregated compute. Bring a clear objective, and we take on everything between the workload and the result.
Defined training objective
The engagement starts from what you are trying to achieve: the model you want, the result that counts as success, and the constraint you are working against. From there, the training is ours to run.
Where this route fits
When managed is the right way in.
The managed route fits when the outcome matters more than running the training yourself.
A defined workload, without the expertise to run it
You know what you want to build and can define success, but you do not want to run disaggregated training in-house. We run it for you.
Discuss a workload →A workload too important to leave to chance
The workload matters too much to leave to chance. We qualify it, run it, and stand behind the result.
Discuss a workload →Platform or partner workloads that are hard to run
You have workloads that are hard to serve profitably, or complex to run. We take on the execution, so you can offer the outcome.
Discuss a workload →What you bring
A clear workload. Not a systems team.
The managed route asks little of you up front. Define these five things, and we take it from there.
01
Model
The model you want trained, or a clear starting point for it. It can be your own architecture or an existing one you are building from, we work with what you already have.
How the engagement works
The same clear stages, every time.
A managed engagement follows the same clear stages every time, so you always know where things stand.
Stage 01 / 06
Bring the workload
You bring the model, the data, the objective, and what success looks like. That is the whole of what we need to begin, the rest is ours to run.
IOTA MANAGED TRAINING LAYER
Everything between the workload and the result.
The full managed layer, from qualifying the workload to reporting the result.
01
Workload qualification
We confirm the workload is well defined, feasible, and has a clear measure of success before anything runs.
What you get back
A trained model, and the proof behind it.
The outcome is more than a model. It is a documented result you can judge, act on, and build the next run from.
01
Training outcome
The trained model, meeting the success criteria you agreed at the start.
Next step
Bring us a workload.
Tell us what you are trying to train and what a good result looks like, and we will take it from there.