ON-DEMAND COMPUTE FOR AI JOBS
E31 Network is being built as an on-demand GPU compute network for batch and asynchronous AI work. Submit the job, rent the compute for as long as it runs, take the output, release the compute. Real-time work stays on your own systems.
- YOUR SITE
- robots, cameras, edge devices; real-time stays here
- THE JOB
- code, data, and a compute request, submitted
- E31 NETWORK
- GPUs held for the job, released after
HOW IT WORKS
Run the job. Pay for the compute you use.
Rent compute when you need it, run the job, get the output, release the compute.
01
SUBMIT
the job, its data, and the compute it needs
02
RENT
GPUs are held for the request
03
RUN
batch, queued, unattended
04
OUTPUT
models, frames, results come back
05
RELEASE
the meter stops; the compute is freed
01
Submit the job
The code or container, the data it needs, and the compute it asks for: how many GPUs, for roughly how long.
02
Rent the compute
A block of GPUs is held for the job, and the meter starts.
03
Run it
Batch, queued, unattended. Minutes to many hours. Nobody has to watch it.
04
Take the output, release the compute
Models, processed frames, results, and logs come back. The meter stops. Nothing is left to own.
WHAT RUNS HERE
GPU-heavy jobs that can run asynchronously.
- Batch inference
- Model training
- Fine-tuning
- Retraining
- Video processing
- Image processing
- Large dataset processing
- Simulation
- Rendering
- Synthetic data generation
- Evaluation jobs
- Large-model inference
- Data transformation
- Analytics
TRAIN & TUNE
Training, fine-tuning, retraining
Hold the GPUs a training run needs for the hours it takes, then let them go.
PROCESS AT VOLUME
Video, image, and dataset processing
A backlog of footage or a large dataset, worked through as one batch.
SIMULATE & SYNTHESIZE
Simulation, rendering, synthetic data
Thousands of runs that no single workstation should have to carry.
INFER & ANALYZE
Batch inference, evaluation, analytics
Large-model inference and evaluation over everything collected since last time.
THE LINE
Real-time stays with you. Batch comes here.
E31 Network is not where robots run control loops, navigation, safety systems, or millisecond inference. Those stay on dedicated local infrastructure, edge devices, and your own systems.
REAL-TIME
STAYS ON YOUR OWN SYSTEMS · NOT E31
- Control loops and motion
- Navigation and safety systems
- Millisecond inference
- Live perception at the sensor
- Dedicated local or edge hardware
BATCH / ASYNCHRONOUS
SUBMITTED TO E31 NETWORK · BY THE HOUR
- Training, fine-tuning, retraining
- Batch and large-model inference
- Video, image, and dataset processing
- Simulation, rendering, synthetic data
- Evaluation, transformation, analytics
EXAMPLES
Four requests, four jobs.
ILLUSTRATIVE REQUESTS, NOT CUSTOMERS — E31 NETWORK HAS NOT SHIPPED
“I need eight GPUs for four hours to process this dataset.”
Process a dataset
“I need compute tonight to retrain my model.”
Retrain overnight
“I have forty hours of warehouse camera footage that needs processing.”
Work through footage
“I need to run ten thousand simulations.”
Run the simulations
HOW YOU PAY
Pay for the compute you use.
BY THE HOUR
Compute is metered for the time it is held. Rates will be published when access opens; none are published today.
RELEASED WHEN FINISHED
When the job ends, the GPUs go back to the pool and the charge stops with them.
NOTHING TO OWN
Bursty work no longer justifies hardware that sits idle between bursts.
WHO IT IS FOR
Teams with heavy jobs and no reason to own the hardware for them.
Robotics companies retraining on what their fleets saw. Warehouses and plants with a backlog of footage. Vision teams re-running a day’s frames against a candidate model. Anyone with ten thousand simulations to get through before morning.
STATUS
We are building this now.
Nothing on this site describes a shipped service. No jobs can be submitted yet, no rates are published, and design-partner intake is not yet open.