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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

there is an increasing need for scalable, reliable, and cost-effective solutions to deploy and serve these models. For more information on how to view and increase your quotas, refer to Amazon EC2 service quotas. As a result, traffic won’t be balanced across all replicas of your deployment.

AWS 94
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Shared components refer to the functionality and features shared by all tenants. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account? If you don’t have an existing knowledge base, refer to Create an Amazon Bedrock knowledge base. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within CDP and allows integration with the whole enterprise data ecosystem. It scales linearly by adding more Knox nodes as the load increases. Apache Atlas.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

It is designed to handle the demanding computational and latency requirements of state-of-the-art transformer models, including Llama, Falcon, Mistral, Mixtral, and GPT variants for a full list of TGI supported models refer to supported models. For a complete list of runtime configurations, please refer to text-generation-launcher arguments.

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A Reference Architecture for the Cloudera Private Cloud Base Data Platform

Cloudera

This unified distribution is a scalable and customizable platform where you can securely run many types of workloads. Externally facing services such as Hue and Hive on Tez (HS2) roles can be more limited to specific ports and load balanced as appropriate for high availability. Further information and documentation [link] .

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Test drive the Citus 11.0 beta for Postgres

The Citus Data

The easiest way to use Citus is to connect to the coordinator node and use it for both schema changes and distributed queries, but for very demanding applications, you now have the option to load balance distributed queries across the worker nodes in (parts of) your application by using a different connection string and factoring a few limitations.