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Transforming workloads: Harnessing AI within VMware environments

CIO

Users can take advantage of cloud-native load balancing and security capabilities such as Google Cloud Armor , which protects against distributed-denial-of-service (DDoS) attacks and provides a web application firewall (WAF). AI and analytics integration. Organizations frequently begin by enhancing how users access applications.

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

AWS Machine Learning - AI

As a result, traffic won’t be balanced across all replicas of your deployment. This is suitable for testing and development purposes, but it doesn’t utilize the deployment efficiently in a production scenario where load balancing across multiple replicas is crucial to handle higher traffic and provide fault tolerance.

AWS 103
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Grid modernization: A strategic guide for energy sector CIOs

CIO

This involves embracing cutting-edge technologies, such as smart grid solutions, energy storage systems, and advanced AI analytics, to effectively manage the grid’s complexity and ensure reliable power delivery. Real-time data insights and AI enable predictive maintenance, intelligent load balancing, and efficient resource allocation.

Energy 183
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

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. API Gateway also provides a WebSocket API.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

In this post, we dive deeper into one of MaestroQAs key featuresconversation analytics, which helps support teams uncover customer concerns, address points of friction, adapt support workflows, and identify areas for coaching through the use of Amazon Bedrock.

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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

Cloudera Data Warehouse (CDW) is a cloud native data warehouse service that runs Cloudera’s powerful query engines on a containerized architecture to do analytics on any type of data. CDW has long had many pieces of this security puzzle solved, including private load balancers, support for Private Link, and firewalls.

Azure 123
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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.