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Commit eca57f66 authored by Neelay Shah's avatar Neelay Shah Committed by GitHub
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chore: Update README.md (#242)

parent 18ce1f9e
...@@ -20,7 +20,7 @@ limitations under the License. ...@@ -20,7 +20,7 @@ limitations under the License.
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![GitHub Release](https://img.shields.io/github/v/release/ai-dynamo/dynamo)](https://github.com/ai-dynamo/dynamo/releases/latest) [![GitHub Release](https://img.shields.io/github/v/release/ai-dynamo/dynamo)](https://github.com/ai-dynamo/dynamo/releases/latest)
| **[Guides](examples/llm/README.md)** | **[Architecture and Features](docs/architecture.md)** | **[APIs](lib/bindings/python/README.md)** | | **[Guides](docs/guides)** | **[Architecture and Features](docs/architecture.md)** | **[APIs](lib/bindings/python/README.md)** | **[SDK](deploy/dynamo/sdk/README.md)** |
NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Dynamo is designed to be inference engine agnostic (supports TRT-LLM, vLLM, SGLang or others) and captures LLM-specific capabilities such as: NVIDIA Dynamo is a high-throughput low-latency inference framework designed for serving generative AI and reasoning models in multi-node distributed environments. Dynamo is designed to be inference engine agnostic (supports TRT-LLM, vLLM, SGLang or others) and captures LLM-specific capabilities such as:
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