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Copy file name to clipboardExpand all lines: ChatQnA/README.md
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|||[ChatQnA deployment on AI PC](./docker_compose/intel/cpu/aipc/README.md)|
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|||[ChatQnA deployment on Gaudi](./docker_compose/intel/hpu/gaudi/README.md)|
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|||[ChatQnA deployment on Nvidia GPU](./docker_compose/nvidia/gpu/README.md)|
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|||[ChatQnA deployment on AMD ROCm](./docker_compose/amd/gpu/rocm/README.md)|
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|||[ChatQnA deployment on AMD EPYC](./docker_compose/amd/cpu/epyc/README.md)|
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|||[ChatQnA deployment on AMD ROCm](./docker_compose/amd/cpu/epyc/README.md)|
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| Cloud Platforms Deployment on AWS, GCP, Azure, IBM Cloud,Oracle Cloud, [Intel® Tiber™ AI Cloud](https://ai.cloud.intel.com/)| Docker Compose |[Getting Started Guide: Deploy the ChatQnA application across multiple cloud platforms](https://github.com/opea-project/docs/tree/main/getting-started/README.md)|
| Automated Terraform Deployment on Cloud Service Providers | AWS |[Terraform deployment on 4th Gen Intel Xeon with Intel AMX using meta-llama/Meta-Llama-3-8B-Instruct ](https://github.com/intel/terraform-intel-aws-vm/tree/main/examples/gen-ai-xeon-opea-chatqna)|
Copy file name to clipboardExpand all lines: CodeTrans/README.md
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The CodeTrans example is implemented using the component-level microservices defined in [GenAIComps](https://github.com/opea-project/GenAIComps).
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This Code Translation use case demonstrates Text Generation Inference across multiple platforms. Currently, we provide examples for [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi-overview.html) and [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html), and we invite contributions from other hardware vendors to expand OPEA ecosystem.
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This Code Translation use case demonstrates Text Generation Inference across multiple platforms. Currently, we provide examples for [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi.html), [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html) and [AMD EPYC™ Processors](https://www.amd.com/en/products/processors/server/epyc.html), and we invite contributions from other hardware vendors to expand OPEA ecosystem.
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## Deployment Options
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Copy file name to clipboardExpand all lines: MultimodalQnA/README.md
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```
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This MultimodalQnA use case performs Multimodal-RAG using LangChain, Redis VectorDB and Text Generation Inference on [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi-overview.html) and [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html), and we invite contributions from other hardware vendors to expand the example.
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This MultimodalQnA use case performs Multimodal-RAG using LangChain, Redis VectorDB and Text Generation Inference on [Intel Gaudi2](https://www.intel.com/content/www/us/en/products/details/processors/ai-accelerators/gaudi.html), [Intel Xeon Scalable Processors](https://www.intel.com/content/www/us/en/products/details/processors/xeon.html) and [AMD EPYC™ Processors](https://www.amd.com/en/products/processors/server/epyc.html), and we invite contributions from other hardware vendors to expand the example.
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## Deployment Options
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