| 1 | # Anyscale |
| 2 | |
| 3 | [Anyscale](https://www.anyscale.com) is a managed, multi-cloud platform developed by the creators of Ray. |
| 4 | |
| 5 | Anyscale automates the entire lifecycle of Ray clusters in your AWS, GCP, or Azure account, delivering the flexibility of open-source Ray |
| 6 | without the operational overhead of maintaining Kubernetes control planes, configuring autoscalers, managing observability stacks, or manually managing head and worker nodes with helper scripts like [examples/ray_serving/run_cluster.sh](../../../examples/ray_serving/run_cluster.sh). |
| 7 | |
| 8 | When serving large language models with vLLM, Anyscale can rapidly provision [production-ready HTTPS endpoints](https://docs.anyscale.com/examples/deploy-ray-serve-llms) or [fault-tolerant batch inference jobs](https://docs.anyscale.com/examples/ray-data-llm). |
| 9 | |
| 10 | ## Production-ready vLLM on Anyscale quickstarts |
| 11 | |
| 12 | - [Offline batch inference](https://console.anyscale.com/template-preview/llm_batch_inference?utm_source=vllm_docs) |
| 13 | - [Deploy vLLM services](https://console.anyscale.com/template-preview/llm_serving?utm_source=vllm_docs) |
| 14 | - [Curate a dataset](https://console.anyscale.com/template-preview/audio-dataset-curation-llm-judge?utm_source=vllm_docs) |
| 15 | - [Finetune an LLM](https://console.anyscale.com/template-preview/entity-recognition-with-llms?utm_source=vllm_docs) |