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dzone.com /1 month ago

Beyond the LLM: Why Amazon Bedrock Agents Are the New EC2 for AI Orchestration

In 2006, Amazon Web Services (AWS) launched Elastic Compute Cloud (EC2). It was a watershed moment that moved computing from physical server rooms to a scalable, virtualized utilit...

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thectoadvisor.com /1 month ago

Layer 1A Is Table Stakes. The Real AI Infrastructure Question Is Above It.

I run a production AI system on <a href="https://virtual.thectoadvisor.com">Google Cloud</a>. Last year, I <a href="http://thectoadvisor.com/...

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cloud.google.com /1 week ago

Introducing Agent Executor, Google’s distributed Agent Runtime

As models and harnesses improve, agents are taking on increasingly complex tasks that can run for hours or even days. But as we push agents to do more, this has surfaced a new oper...

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thectoadvisor.com /4 days ago

AI Infrastructure: The Tradeoffs Behind These 12 Vendor Platforms

I have spent the past several months building frameworks that help enterprises adopt AI. The work has two layers. The

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dzone.com /1 month ago

Architecting AI-Native Cloud Platforms: Signals to Insights to Actions

Cloud platforms have historically been built to execute applications at scale. Over the past decade enterprises pushed workloads from private datacenters to the cloud, taking advan...

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medium.com /1 month ago

EVERYONE HAS AI BUT NO ONE HAS EXECUTIONS.

Before I start, I want to make it very clear that this article was written by a guy on X. He has spoken about the future of A.I which is…Continue reading on Medium »

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ntpro.nl /3 weeks ago

Running a Local Private AI Stack on Apple Silicon with llama.cpp and Open WebUI

VMware Private AI Foundation with NVIDIA is the enterprise platform for running generative AI workloads on your own infrastructure. But

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devops.com /1 month ago

Arm Adds Free Toolkit to Analyze AI Agent Performance

Arm this week made available a free toolkit for analyzing agentic artificial intelligence (AI) workloads as they are being developed by DevOps and platform engineering teams. Earli...

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dzone.com /1 month ago

Using Java for Developing Agentic AI Applications: The Enterprise-Ready Stack in 2026

As agentic AI shifts from prototypes to enterprise production, Java emerges as a powerful alternative to Python-centric stacks. This article looks into building robust agentic appl...

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javacodegeeks.com /1 day ago

OpenClaw Setup and A2A Plugin Bridge Design

Modern AI systems are rapidly evolving from simple chatbot interfaces into autonomous multi-agent ecosystems capable of reasoning, orchestration, workflow execution, and distribute...

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developer-tech.com /1 month ago

Google TorchTPU enables native PyTorch AI execution

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for enterprise AI. The machine learning talent pool almost unive...

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dev.to /3 weeks ago

Building a Full-Stack Agentic AI Data Platform on ClickHouse: A Complete Architecture Guide

A production-grade, end-to-end agentic AI platform â€” chat UI, self-hosted LLM, MCP server, LLM observability, medallion data architecture, security guardrails, HA, and cost analy...

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developer-tech.com /4 days ago

Google open-sources Agent Executor to run AI agents in production

Google has introduced Agent Executor, an open-source runtime standard for AI agent execution, resumption, and distributed deployment. The project is aimed at long-running agent wor...

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newswire.com /3 weeks ago

TGI AMIRON Alliance Launches AXINOD(TM): A Sovereign AI Utility Platform Integrating Energy and High-Density Compute

New Infrastructure Initiative Targets Global "Inference Flip" with Initial Deployments in Kazakhstan and the United States

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marktechpost.com /1 month ago

NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any...

Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. Tenso...

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dzone.com /1 month ago

Building a State-Driven Workflow Engine for AI Applications

When building AI-powered applications, we quickly encounter a challenge that traditional API architectures struggle to handle: AI workflows are inherently multi-step, branching, an...

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javacodegeeks.com /2 weeks ago

Spring AI Explainable Agents: Capture LLM Tool Call Reasoning

Explainable AI agents aim to make the decision-making process of large language models (LLMs) transparent, especially when tools are invoked during a conversation. In modern agenti...

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yourstory.com /1 month ago

What it takes to run AI in the real world: Lessons from Akamai Digital Leadership Summit

From inference costs and voice AI to API security and sovereign models, the Akamai Digital Leadership Summit examined what it really takes to run AI systems in production at India’...

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dzone.com /1 month ago

What AWS Kiro Matters for Agentic Development

The evolution of artificial intelligence (AI) has transitioned from passive chat interfaces to active, autonomous agents. This shift, known as agentic development, requires a funda...

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devops.com /1 day ago

Why Enterprise AI Infrastructure Is Becoming a DevOps Problem

Most enterprise AI projects start with retrieval. You connect Jira, Confluence, SharePoint, and Slack. Maybe a few internal databases nobody has touched in five years. You tune emb...

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dzone.com /1 month ago

How Agentic AI Platforms Organize Their Hardware Infrastructure

Agentic AI pipelines are computational architectures where multiple specialized AI agents collaborate to complete complex tasks. Each agent in the pipeline handles a specific funct...

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forrester.com /1 week ago

Agentic AI Enters Its Enterprise Execution Era

Agentic AI is no longer defined by chat-based interactions or experimental prototypes, but by its growing ability to execute work across enterprise environments. In March 2026, Ope...

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aws.amazon.com /4 days ago

Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore

In this post you'll learn how to build a multi-agent campaign review system that demonstrates parallel reasoning, context persistence, and traceable execution paths using an integr...

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dev.to /1 month ago

I Built a CLI AI Coding Assistant from Scratch вЂ” Here's What I Learned

I Built a CLI AI Coding Assistant from Scratch вЂ” Here's What I Learned TL;DR: I spent several months studying Claude Code's architecture, then built Seed AI вЂ” a TypeScript C...

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