Tools to simplify the process of building Deep Learning Systems
Work bench for Deep Learning
VEGA is designed for researchers and data scientists to build and deploy Deep Learning algorithms at scale. An end to end platform, 'VEGA' simplifies complex ‘AI’ processes enabling developers and enterprises to focus on core product features.
Build complex neural nets
Create complex architectures in Braid through coding or by using drag and drop features, in a snap!
Simple definition of architectures
Easy to synthesize and visualize
Braid is super flexible and modular library designed for speed and ease.
Drag and Drop layers to create sophisticated architectures that are ready for training and deployment.
Plug in data and train networks
'VEGA' is Integrable with multiple Data platforms. Given a source of training data, the work bench can access and learn from it. Vega can ingest live data and learn continually through feedback loops at defined frequency.
Deploy and Scale seamlessly
Vega provides a single click option to deploy on Arya's cloud. Or you could deploy to your data centers via provisioning layer. Through Vega, continue monitoring your application and scale as required. Vega's hardware recommendations include optimal combinations of CPUs and GPUs.
Deep Learning - One Workbench, Many Use Cases
Computer Vision Diagnostics or IoT or Analytics or Robotics?
Vega works for many Deep Learning use cases.
Everything an enterprise needs in the platform!
Are you an enterprise?
Want to discuss more about the platform and deployment?
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