Deep Learning Training:
Faster, Easier &
Run:AI virtualizes and accelerates deep learning. Our automated distributed training technology and neural network analysis allows companies to speed up time-to-delivery and train bigger models, while simplifying compute infrastructure processes and reducing costs.
Take Control of Training Times and Costs
Deep learning requires a completely new approach to compute infrastructure. Workloads are time and compute intensive and each neural network is different. This creates a significant scalability gap that results in longer time-to-delivery and higher costs.
The Run:AI platform solves this through virtualization, by adding acceleration and better controls to rein in unpredictable processes.
10x Speedups and Bigger Models
Run:AI’s unique computational graph analysis technology provides automatic distributed training using a hybrid combination of data and model parallelisms. This breaks the boundaries of GPU memory to enable the training of models of any size.
This means data scientists and deep learning engineers can effortlessly run bigger models several times faster, while reducing costs and maximizing server utilization.
The Run:AI Platform
Our platform manages all the training requests within an organization1 of 3
Our software automatically analyzes each workload’s computational complexity and optimizes computations2 of 3
Run:AI automatically chooses and executes the distributed training strategy, and optimizes resource allocation3 of 3
Focus on your Model, We’ll Do the Rest
Our software analyzes your workload, chooses the optimal hardware parallelism configuration and schedule, and automatically executes it — with full tracking and visibility.
It’s as simple as typing a single command, without requiring code changes by the user.
Set Policies that Make Sense
With many users, models, experiments, and workloads vying for compute resources and budgets, it’s difficult to make informed decisions. Run:AI gives you the ability to set policies and preferences for deep learning training for the many concurrent processes running across your organization, along with information to help you predict and re-arrange schedules and budgets.