RESOURCES
Training, batch inference, footage, datasets, simulation: the jobs the network is built for.
Articles in Workloads
- Workloads
Large-model inference that can wait
The same large model can answer a person now or work through a pile of documents overnight. Only the second kind is a network job. How to tell them apart, and how the asynchronous pass is described.
· 4 min read
- Workloads
Evaluation jobs and regression sweeps
Every model should be measured before it ships and against the version before. How an evaluation pass, and a full matrix of candidates against suites, would run as jobs on E31 Network.
· 4 min read
- Workloads
Rendering and synthetic data generation
Rendering draws frames nobody is waiting on yet; synthetic data generation draws them with labels attached. How both become jobs on E31 Network, and why the output is the heavy part.
· 4 min read
- Workloads
Simulation sweeps as a batch job
Many independent runs of the same simulator, where the point is the set and not any single run. How a sweep becomes one job on E31 Network, and why the controller it validates stays on the machine.
· 4 min read
- Workloads
Working through a large dataset once
Some compute needs happen exactly once: a heavy pass over a dataset that will not need it again. Why a one-time pass is the purest case for renting compute, and how it is described as a job.
· 4 min read
- Workloads
Image processing at volume
Each image is small; the collection is not. How a pass over a very large image collection is described as one job on E31 Network, and why the inspection camera on the line is not part of it.
· 4 min read
- Workloads
Processing a backlog of footage
Recorded video has no urgency of its own. How a backlog of camera footage becomes a job on E31 Network, why moving it is the hard part, and why live feeds never come here.
· 4 min read
- Workloads
Fine-tuning and retraining overnight
A model that exists, new data that has piled up, and a refreshed model wanted by morning. Why the overnight window suits a queue, and how a fine-tuning or retraining run is described as a job.
· 4 min read
- Workloads
Training a model on rented compute
A training run needs a lot of GPUs for a stretch and then none of them. How a run is described as a job on E31 Network, why staging the data is the hard part, and what the meter covers.
· 4 min read
- Workloads
Batch inference as a job
A trained model, a large set of inputs that already exist, and no one waiting on any single answer. How that pass becomes one job on E31 Network, and where the line to live serving sits.
· 4 min read