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9 articles
This article explains NVIDIA's OSMO, a Kubernetes-native workflow orchestrator that simplifies AI training, simulation, and robot testing by allowing teams to define tasks in a single YAML file and automatically route them to appropriate compute resources.
Learn to build a multi-agent orchestration system that routes tasks to specialized AI models based on complexity and cost efficiency, similar to Sakana AI's Fugu Max and Fugu Ultra v2 models.
Learn how GitHub's Project HydraFusion uses multiple AI models to create smarter, more flexible coding workflows in Copilot CLI.
Enterprises are moving beyond automation to orchestration as the key to effective AI-powered customer experience. As AI agents proliferate, the challenge lies in unifying data, systems, and workflows into a shared context that enables seamless, intelligent interactions across channels.
Learn to build a simple AI agent orchestration system that demonstrates how multiple AI agents can collaborate rather than work in isolation, inspired by the concept of an operating system that empowers teams.
Optiak raises €4 million to develop an orchestration layer for enterprise AI, aiming to simplify AI deployment and management across organizations.
OpenAI introduces Symphony, an open-source specification that transforms issue trackers into always-on agent systems, boosting engineering output and reducing context switching.
Learn to build a basic agentic AI monitoring system that demonstrates the core concepts behind Cisco's DefenseClaw, which aims to make enterprise AI safer through orchestration.
This explainer explores the concept of AI agent marketplaces, how they work, and why they represent a significant advancement in AI deployment and development.
