hybrid-search.ipynb - Colab - Google Colab

As described in Overview of Vector Search, semantic search with Vector Search can find items with semantic similarity by using queries.. Embedding models such as Vertex AI embeddings …


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Does Kubernetes support Genai?

Kubernetes provides the infrastructure to run and scale GenAI models in containers, which ensures high availability, fault tolerance, and efficient resource utilization. As we mentioned earlier, most downstream use-cases require fine-tuning an LLM for specific tasks as per your business requirements. ...

Should data scientists and developers use Kubernetes?

Data scientists and developers don’t have to worry about infrastructure-related issues. They can focus on their apps and let Kubernetes manage the infrastructure. Since AI software relies on NVIDIA GPUs to accelerate training and inference, it’s important that Kubernetes be GPU-aware. ...

Can openvino model server be deployed on premised Kubernetes cluster?

This article covers a proof of concept (PoC) to deploy OpenVINO Model Server and a demo Inference application on both Azure cloud and on premised Kubernetes cluster, using the same tools and application images. It will also cover centrally monitoring the 2 deployments from Azure public cloud. ...

What is Kubernetes application development & deployment?

This application development and deployment model enables scale and agility in today’s hybrid and multi-cloud environments. Applications or services packaged as containers can be deployed and managed with the same Kubernetes based eco-system tools in the public cloud, on premise or Edge locations. ...

Can Kubernetes run large-scale AI experiments?

Before we jump into how we can use Kubernetes to run large-scale AI experiments, let’s introduce a few key concepts you should know as you follow along with the example. The basic deployable unit in Kubernetes is called a Pod. A Pod contains one or more processes in co-located containers which share the same volumes, IP address, and namespace. ...

How to provide model data to OVMS pod in a Kubernetes environment?

The model data can be provided to OVMS pod in a Kubernetes environmentvia different pod storage provisioning options – using cloud storage, local host node storage or external storage solutions via Kubernetes persistent volumes. ...

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