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Ray Serve: Tackling the cost and complexity of serving AI in production

Anyscale · published 25 September 2023

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https://medium.com/distributed-computing-with-ray/machine-learning-serving-is-broken-f59aff2d607f
medium.com
https://a16z.com/emerging-architectures-for-llm-applications/
a16z.com
https://www.anyscale.com/endpoints
anyscale.com
https://github.com/vllm-project/vllm
github.com
https://github.com/ray-project/aviary/
github.com
https://www.anyscale.com/blog/continuous-batching-llm-inference
anyscale.com
https://blogs.nvidia.com/blog/2023/09/18/llm-anyscale-nvaie/
blogs.nvidia.com
https://medium.com/samsara-engineering/building-a-modern-machine-learning-platform-with-ray-eb0271f9cbcf
medium.com
https://www.anyscale.com/blog/cloud-infrastructure-for-llm-and-generative-ai-applications
anyscale.com
https://docs.anyscale.com/integrations/monitoring
docs.anyscale.com
https://docs.ray.io/en/latest/serve/index.html
docs.ray.io
https://docs.google.com/forms/d/e/1FAIpQLSfAcoiLCHOguOm8e7Jnn-JJdZaCxPGjgVCvFijHB5PLaQLeig/viewform
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https://www.anyscale.com/signup
anyscale.com