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The Shakti Studio platform provides end-to-end AI model lifecycle management, covering inference, training, deployment, and monitoring. Users can choose between shared or private endpoints and also opt for BYOC (Bring Your Own Compute) deployments for greater control.

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Core platform features

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Inference

Inference on our platform can be accomplished in the following ways -
  1. Shared endpoints for cost-effective, scalable performance.
  2. Private endpoints to leverage dedicated resources with higher reliability and performance.
DeploymentDedicated EndpointCompute ResourcesModelModel Suite
SharedNoShakti StudioShakti StudioShakti Studio Server
PrivateYesShakti StudioShakti StudioShakti Studio Server

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Explore these core platform capabilities to accelerate your AI journey

Training

Train a model and optimize performance

Inference

Invoke deployed models for inference

Playground

Try out all the models from the playground

Deployment

Deploy a model on a private infra or your own cloud