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Terms | Definitions |
---|---|
Model | Model or AI model is a computer program designed to simulate human intelligence |
Model Serving | It is a product of Platform as a Service (PaaS) that allows the deployment and operation of AI models on the Kubernetes platform provided by FPT Cloud |
Model Type | The type of model to be deployed, including/excluding an image |
Image | A template for packaging applications as containers for deployment |
Image Source | The type of source for the deployment image: Private/Public |
Image Registry | The address where the deployment image is hosted |
Image Tag | The tag of the deployment image |
Cluster | The Kubernetes cluster for deploying the model |
Instance | Processing capacity unit |
Instance Replica | The number of identical instances providing processing capacity for a single model |
Resource Type Flavor | Type of processing capacity resources (CPU/RAM/DISK/GPU) |
Deployment Strategy | Deployment strategy on Kubernetes (Recreate/Rolling Update) |
Startup Command | Startup command or initialization command |
Environment Variable | Environment variables that need to be configured |
Nodes Selector | Label selection for worker nodes to deploy the model |
Tags | Label for the deployed model |
Services Type | Type of external connection for the deployed model on Kubernetes (Load Balancer/ClusterIP/Ingress) |
Traffic Type | Type of data connection (Public/Private) |
Port | Port for external connection and container ingress (TCP) |
GPU Sharing Mode | The type of virtualization used to partition the GPU (MIG/MPS/Time-slice) |
Cookie | Duration | Description |
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cookielawinfo-checbox-functional | 11 months | |
cookielawinfo-checbox-others | 11 months | |
cookielawinfo-checkbox-necessary | 11 months | |
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viewed_cookie_policy | 11 months |