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Marut Pandya
2024-08-09 14:58:46 -07:00
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@@ -18,8 +18,10 @@ Deploy OpenAI-Compatible Blazing-Fast LLM Endpoints powered by the [vLLM](https:
### 1. UI for Deploying vLLM Worker on RunPod console:
![Demo of Deploying vLLM Worker on RunPod console with new UI](media/ui_demo.gif)
### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags
Update v1.1 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`.
### 2. Worker vLLM `v1.2.0` with vLLM `0.5.4` now available under `stable` tags
**[Note]**: Current stable docker image version still runs vllm v0.5.3, It will be updated soon.
Update v1.1.0 is now available, use the image tag `runpod/worker-v1-vllm:stable-cuda12.1.0`.
### 3. OpenAI-Compatible [Embedding Worker](https://github.com/runpod-workers/worker-infinity-embedding) Released
Deploy your own OpenAI-compatible Serverless Endpoint on RunPod with multiple embedding models and fast inference for RAG and more!