@@ -29,7 +29,6 @@ Learn fundamental Dynamo concepts through these introductory examples:
-**[Quickstart](basics/quickstart/README.md)** - Simple aggregated serving example with vLLM backend
-**[Disaggregated Serving](basics/disaggregated_serving/README.md)** - Prefill/decode separation for enhanced performance and scalability
-**[Multi-node](basics/multinode/README.md)** - Distributed inference across multiple nodes and GPUs
-**[Multimodal](basics/multimodal/README.md)** - Multimodal model deployment with E/P/D disaggregated serving
## Deployment Examples
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@@ -76,4 +75,4 @@ These examples show how Dynamo broadly works using major inference engines.
If you want to see advanced, framework-specific deployment patterns and best practices, check out the [Components Workflows](../components/backends/) directory:
-**[vLLM](../components/backends/vllm/)** – vLLM-specific deployment and configuration
-**[SGLang](../components/backends/sglang/)** – SGLang integration examples and workflows
-**[TensorRT-LLM](../components/backends/trtllm/)** – TensorRT-LLM workflows and optimizations
\ No newline at end of file
-**[TensorRT-LLM](../components/backends/trtllm/)** – TensorRT-LLM workflows and optimizations
Anish <80174047+athreesh@users.noreply.github.com>