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MCP, ACP, and Agent2Agent set standards for scalable AI results

CIO

Protocols are also essential for AI security and scalability, because they will enable AI agents to validate each other, exchange data, and coordinate complex workflows, Lerhaupt adds. Ultimately, the new protocols point to a new path to scalable AI adoption, says Christian Posta, global field CTO at cloud management vendor Solo.io.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. Its ability to apply masking dynamically at the source or during data retrieval ensures both high performance and minimal disruptions to operations.

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Introduction to vLLM: A High-Performance LLM Serving Engine

The New Stack

Initially developed in the Sky Computing Lab at UC Berkeley, this library has evolved into a community-driven project that addresses the critical challenges of memory management, throughput optimization and scalable deployment in LLM applications.

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‘Teleportation’ breakthrough could solve quantum computing’s scalability problem

CIO

By using optical fibers to entangle quantum bits in separate modules, quantum logic operations can be performed across the modules via quantum teleportation. By linking together smaller quantum devices, the researchers suggest that this vast processing scale could be achieved through a distributed network rather than a single machine.

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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases. The topics covered include: Using Cassandra as if it were a Relational Database.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. Access to your selected models hosted on Amazon Bedrock.

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Boost Performance With React Server Components and Next.js

The New Stack

Less JavaScript in the Browser: RSCs reduce the amount of JavaScript sent to the client, which is excellent for performance, especially on slower devices or networks. They can fetch data, access files, or perform heavy computations. Scalability: In a real app, you could replace the JSON file with a database query (e.g.,

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

We will hear about specific use cases where organizations leveraged serverless refactoring, containerization or a combination of both solutions, that resulted in improved performance, availability, and scalability. How to make the right architectural choices given particular application patterns and risks.

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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

We’ll explore essential criteria like scalability, integration ease, and customization tools that can help your business thrive in an increasingly data-driven world. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.