Translation Application

The Translation example demonstrates the implementation of language translation using OPEA component-level microservices.

Table of contents

1. Architecture
2. Deployment Options

Architecture

The architecture of the Translation Application is illustrated below:

The Translation example is implemented using the component-level microservices defined in GenAIComps. The flow chart below shows the information flow between different microservices for this example.

---
config:
  flowchart:
    nodeSpacing: 400
    rankSpacing: 100
    curve: linear
  themeVariables:
    fontSize: 50px
---
flowchart LR
    %% Colors %%
    classDef blue fill:#ADD8E6,stroke:#ADD8E6,stroke-width:2px,fill-opacity:0.5
    classDef orange fill:#FBAA60,stroke:#ADD8E6,stroke-width:2px,fill-opacity:0.5
    classDef orchid fill:#C26DBC,stroke:#ADD8E6,stroke-width:2px,fill-opacity:0.5
    classDef invisible fill:transparent,stroke:transparent;
    style Translation-MegaService stroke:#000000

    %% Subgraphs %%
    subgraph Translation-MegaService["Translation MegaService "]
        direction LR
        LLM([LLM MicroService]):::blue
    end
    subgraph UserInterface[" User Interface "]
        direction LR
        a([User Input Query]):::orchid
        UI([UI server<br>]):::orchid
    end


    LLM_gen{{LLM Service <br>}}
    GW([Translation GateWay<br>]):::orange
    NG([Nginx MicroService]):::blue


    %% Questions interaction
    direction LR
    a[User Input Query] --> UI
    a[User Input Query] --> |Need Proxy Server|NG
    NG --> UI
    UI --> GW
    GW <==> Translation-MegaService


    %% Embedding service flow
    direction LR
    LLM <-.-> LLM_gen

This Translation use case performs Language Translation Inference across multiple platforms. Currently, we provide the example for Intel Gaudi2, Intel Xeon Scalable Processors and AMD EPYC™ Processors, and we invite contributions from other hardware vendors to expand OPEA ecosystem.

Deployment Options

The table below lists the available deployment options and their implementation details for different hardware platforms.

Platform	Deployment Method	Link
Intel Xeon	Docker compose	Deployment on Xeon
Intel Gaudi2	Docker compose	Deployment on Gaudi
AMD EPYC	Docker compose	Deployment on AMD EPYC
AMD ROCm	Docker compose	Deployment on AMD Rocm

Validated Configurations

Deploy Method	LLM Engine	LLM Model	Hardware
Docker Compose	vLLM, TGI	haoranxu/ALMA-13B	Intel Gaudi
Docker Compose	vLLM, TGI	haoranxu/ALMA-13B	Intel Xeon
Docker Compose	vLLM, TGI	haoranxu/ALMA-13B	AMD Xeon
Docker Compose	vLLM, TGI	haoranxu/ALMA-13B	AMD EPYC
Helm Charts	vLLM, TGI	haoranxu/ALMA-13B	Intel Gaudi
Helm Charts	vLLM, TGI	haoranxu/ALMA-13B	Intel Xeon