Management Client

The Management Client is designed for Computation Providers to manage all aspects of computation setup, integration, and resource management. Providers can perform these activities using either the Lattica Web Console or the Python SDK.

Before using either option, you must sign up on the Lattica Console to create an account and receive your Account ID.

1

Installing the Management Package (Python SDK)

If you choose to use the Python SDK, install the Management Client package. This package provides all functionalities needed for deploying computations, managing tokens, and controlling workers.

2

Model Compilation and Integration

Note: Depending on the encryption scheme, the submitted artifact may be either a plain model (transformed by LatticaAI into a homomorphic pipeline) or a precompiled program (deployed directly for TFHE execution).

The Management Client enables Workload Providers to deploy and manage their computations in Lattica’s system.

• Deployment Options:

  • Use the Web Console for an intuitive user interface.

  • Use the Python SDK for programmatic integration.

• Process:

  • Deploy workload to LatticaAI’s backend

  • Workloads can be managed (updated, activated, or deactivated) after deployment.

Note: The model will be ready for processing only after LatticaAI builds the homomorphic-ready model in the backend.

After LatticaAI confirms the model's successful creation, the provider can begin using it for encrypted data processing.

For TFHE-based workflows, the submitted artifact is an already compiled program, which is deployed directly without additional transformation.

3

Access Token Management

The Management Client provides tools to manage User Access Tokens, which control secure access to deployed computations.

• Token Functions:

  • Create new tokens.

  • Activate or deactivate tokens.

  • Assign or reassign tokens to specific workload.

These activities can be performed via the Web Console or the Python SDK.

4

Worker (GPU) Management

After workloads and tokens are set up, Providers can control computational resources by managing workers.

• Worker Functions:

  • Start or stop workers as needed for active operations.

  • Monitor worker performance and optimize resource allocation.

Providers can perform these activities through the Web Console or Python SDK, giving full control over runtime and resources.