01
Batch processing
From a thousand records to your entire dataset. Run inference in bulk, on your schedule.
THE NEXT WORKLOAD STARTS HERE
Big workloads.
Zero reservations.
On-demand inference and GPU compute for everything beyond chat.
Batch processing. Embeddings. Document pipelines. Fine-tuning. Built around the work you run, with consumption-based billing.
In development · A new compute platform from unifyAI
WORKLOAD ENGINECONCEPT PREVIEW
Batch Embed Extract Tune
unifyAIOne compute layer.
GPU 01
GPU 02
GPU 03
GPU 04
ALLOCATE → EXECUTE → RELEASEBuilt for the job.
+ Bring your workload+ Compute on demand+ Pay by consumption
01 / WHAT YOU CAN BUILD
AI has work to do.
Give it the compute.
For the jobs behind your product.
And the pipelines that keep it moving.
02
Embeddings
Turn unstructured data into useful vectors. Build the foundation for search and retrieval.
03
Document pipelines
Extract, classify, and transform documents into structured data your applications can use.
04
Fine-tuning
Bring your data. Adapt models to your domain with GPU compute that fits the job.
02 / THE COMPUTE MODEL
From workload to output.
Without the capacity planning.
Define the work
Choose a model or bring your own job. Specify the data and resources it needs.
Run on demand
The platform is designed to provision GPU compute for the task and release it when finished.
Keep the output
Take the results into your application. Track consumption across your jobs.
03 / CONSUMPTION, NOT COMMITMENT
Your work has a runtime.
Your bill should, too.
Our billing model is built around consumption, so you can match compute spend to actual workloads instead of reserving capacity ahead of time.
Rates and availability will be announced at launch.
THE PRINCIPLE
Run the job.
Use the compute.
Pay for the usage.
Consumption-based