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  * [https://github.com/google/JetStream](https://github.com/google/JetStream) (and [https://github.com/google/jetstream-pytorch](https://github.com/google/jetstream-pytorch)) is a throughput and memory optimized engine for large language model (LLM) inference on XLA devices
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  * [https://github.com/google/flax](https://github.com/google/flax) is a neural network library for JAX that is designed for flexibility
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  * [https://github.com/kubernetes-sigs/lws](https://github.com/kubernetes-sigs/lws) facilitates Kubernetes deployment patterns for AI/ML inference workloads, especially multi-host inference workloads
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- * [https://github.com/GoogleCloudPlatform/ai-on-gke](https://github.com/GoogleCloudPlatform/ai-on-gke) is a collection of AI examples, best-practices, and prebuilt solutions
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  * **Google Research Papers**: [https://research.google/](https://research.google/)
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  ## On-device ML using [Google AI Edge](http://ai.google.dev/edge)
 
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  * [https://github.com/google/JetStream](https://github.com/google/JetStream) (and [https://github.com/google/jetstream-pytorch](https://github.com/google/jetstream-pytorch)) is a throughput and memory optimized engine for large language model (LLM) inference on XLA devices
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  * [https://github.com/google/flax](https://github.com/google/flax) is a neural network library for JAX that is designed for flexibility
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  * [https://github.com/kubernetes-sigs/lws](https://github.com/kubernetes-sigs/lws) facilitates Kubernetes deployment patterns for AI/ML inference workloads, especially multi-host inference workloads
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+ * [https://gke-ai-labs.dev/](https://gke-ai-labs.dev/) is a collection of AI examples, best-practices, and prebuilt solutions
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  * **Google Research Papers**: [https://research.google/](https://research.google/)
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  ## On-device ML using [Google AI Edge](http://ai.google.dev/edge)