Unverified Commit b82e7327 authored by Harry Kim's avatar Harry Kim Committed by GitHub
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docs: Update README.md with Dynamo meetup announcement (#1077)


Signed-off-by: default avatarHarry Kim <harry_kim@live.com>
parent 20c470be
...@@ -23,6 +23,8 @@ limitations under the License. ...@@ -23,6 +23,8 @@ limitations under the License.
| **[Roadmap](https://github.com/ai-dynamo/dynamo/issues/762)** | **[Support Matrix](support_matrix.md)** | **[Guides](docs/guides)** | **[Architecture and Features](docs/architecture.md)** | **[APIs](lib/bindings/python/README.md)** | **[SDK](deploy/sdk/README.md)** | | **[Roadmap](https://github.com/ai-dynamo/dynamo/issues/762)** | **[Support Matrix](support_matrix.md)** | **[Guides](docs/guides)** | **[Architecture and Features](docs/architecture.md)** | **[APIs](lib/bindings/python/README.md)** | **[SDK](deploy/sdk/README.md)** |
### 📢 **Please join us for our** [ **first Dynamo in-person meetup with vLLM and SGLang leads**](https://events.nvidia.com/nvidiadynamousermeetups) **on 6/5 (Thu) in SF!** ###
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:
- **Disaggregated prefill & decode inference** – Maximizes GPU throughput and facilitates trade off between throughput and latency. - **Disaggregated prefill & decode inference** – Maximizes GPU throughput and facilitates trade off between throughput and latency.
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