#cluster orchestration
163 related articles
Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Product Reviews·1 min
Qwen3.6-27B Open-Source Model Review: Flagship-Level Code and Multimodal Capabilities with Just 27B Parameters
Deep dive into Alibaba's Qwen3.6-27B: a 27B dense model delivering flagship-level code generation and multimodal capabilities on a single GPU with INT4 quantization.
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Deep Dives·2 min
How to Add Deep Research Skills to AI Agent Frameworks: NVIDIA's Skill-Based Architecture Explained
Explore NVIDIA's Deep Research Skill approach for embedding deep research capabilities as skill modules into AI Agent frameworks like Claude Code and LangChain, enabling goal decomposition, multi-source retrieval, and knowledge synthesis.
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Product Reviews·3 min
Grok 4.1 vs GPT-5 vs Claude 4.5 Real-World Comparison | 2025 Model Selection Guide
2025 deep comparison of Grok 4.1, GPT-5, Claude 4.5, and Gemini 3 Pro across reasoning, coding, writing, and long-text tasks, with multi-model workflow examples and a selection guide.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop MLOps Platform
Deep dive into Cube Studio, Tencent Music's open-source one-stop AI platform, covering architecture design, distributed training, large model fine-tuning and inference, and domestic chip adaptation.
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Product Reviews·4 min
LibreChat: Complete Guide to the 36K Star Open-Source ChatGPT Alternative
In-depth guide to LibreChat, the open-source AI chat platform with 36K+ Stars. Covers multi-model aggregation, MCP protocol, Agents, Code Interpreter, Docker self-hosting, and comparisons with alternatives.
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Tech Frontiers·2 min
Inaugural CAIS Conference Approaching: Databricks Co-founder Andy Konwinski Invited as Keynote Speaker
The inaugural CAIS conference is approaching, with Databricks co-founder Andy Konwinski invited as keynote speaker. Learn about his technical background, Databricks' AI strategy, and the conference's significance.
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Expert Opinions·3 min
Vibe Coding Crashes and Burns After Seven Months: 234 Commits Archived, Rewriting Everything from Scratch
A developer Vibe Coded with AI for 7 months, made 234 commits and 1,690 lines of code, then the project collapsed. Five hard lessons reveal AI's true limits: it builds features, not architecture.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Product Reviews·3 min
Cube Studio: A Comprehensive Analysis of Tencent's Open-Source Cloud-Native AI Platform
Deep dive into Tencent Music's open-source Cube Studio cloud-native AI platform, covering distributed training, LLM fine-tuning & inference, Pipeline orchestration, and domestic hardware adaptation.
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Product Reviews·3 min
Simon Willison's Complete Process of Building an iNaturalist Observation Gallery with Phone + Claude Code
Simon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.
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Tutorials·3 min
awesome-llm-apps: A 100K-Star GitHub Project with 100+ AI Agent & RAG Applications
awesome-llm-apps is a 100K+ Star GitHub project featuring 100+ ready-to-run AI Agent and RAG apps. Built in Python with clone-and-run simplicity, it's an essential resource for LLM developers.
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Product Reviews·3 min
Deep Dive into AGGO Framework: A New Go-Based Choice for Enterprise AI Agents
Deep dive into AGGO—an enterprise AI Agent framework built with Go and CloudWeGo Eino, covering conversational AI, RAG, memory systems, and tool calling, with Go's performance advantages.
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Product Reviews·2 min
Cursor Coding Team: Practices and Prospects of Multi-Agent Collaborative Programming
Deep dive into cursor-coding-team: an open-source project orchestrating multiple AI agents via Cursor Cloud Agents API for parallel development, code review, and automated collaborative workflows.
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Product Reviews·4 min
Deep Dive into Cube Studio: Tencent's Open-Source All-in-One AI Platform
Deep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, large model fine-tuning and inference, Pipeline orchestration, VGPU virtualization, and Huawei Ascend support for enterprise cloud-native MLOps.
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Product Reviews·3 min
mcproc: A Deep Dive into the MCP-Based AI Agent Process Management Server
mcproc is a Rust-based MCP server that gives AI agents background process management capabilities. This article covers its architecture, use cases, and value in the AI toolchain ecosystem.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop Cloud-Native AI Platform
Deep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, LLM fine-tuning, inference deployment, VGPU virtualization, and domestic hardware support for enterprise MLOps.
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Product Reviews·5 min
LobeHub Open Source Platform Analysis: How 76K Stars Multi-Agent Collaboration Is Reshaping Work
Deep analysis of LobeHub's open-source multi-agent collaboration platform with 76K+ GitHub Stars. Explore its core features, technical architecture, community ecosystem, and how multi-Agent collaboration is reshaping the future of work.
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Tutorials·4 min
Claude Workflow V2: A Hands-On Deep Dive into the Four Core Modules — Agents, Skills, Hooks & Commands
Deep dive into Claude Workflow V2's four core modules: agents for multi-agent collaboration, skills for reuse, hooks for event handling, and commands for unified orchestration—turning Claude Code into an automated workflow platform.
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