#VRAM requirements

7 related articles

2026年6月3日·2 min

DeepSeek-V3.2 Released: Coding and Math Capabilities Join the Global Top Tier

DeepSeek-V3.2 released with coding, math, and Agent capabilities matching Gemini 3.0 Pro, setting new open-source SOTA. Detailed analysis of performance gains, use cases, and deployment tips.

One Person, Three Machines: Local Agent Deployment and Multi-Machine Collaborative Operations in Practice

Tutorials

2026年6月2日·3 min

One Person, Three Machines: Local Agent Deployment and Multi-Machine Collaborative Operations in Practice

Deploy Cloud Code and Hermes AI Agents to efficiently manage three physical hosts solo. Covers Ventoy single-file deployment, BTRFS+RAW Image setup, Agent task division, and risk control strategies.

AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer

Tutorials

2026年6月2日·1 min

AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer

A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.

Picaboo: An Open-Source AI Desktop Automation Tool That Directly Controls Your Computer

Product Reviews

2026年6月1日·3 min

Picaboo: An Open-Source AI Desktop Automation Tool That Directly Controls Your Computer

Picaboo is an open-source AI desktop automation tool that controls your computer like a human through screenshot recognition and intelligent operations. Learn how it works, its use cases, and security considerations.

Industry Insights

Risks of AI Account Rotation Tools Exp…

2026年6月1日·3 min

Risks of AI Account Rotation Tools Exposed: Security Threats Behind the Gray Market

Deep dive into how AI quota-cracking tools work, exposing the legal, compliance, and data security risks behind account rotation gray markets, with legitimate alternatives like API pay-per-use and subscription upgrades.

Tutorials

Decoding LLM Naming Conventions: Param…

2026年5月27日·3 min

Decoding LLM Naming Conventions: Parameter Counts, Quantization Formats & VRAM Requirements Quick Reference

Decode LLM naming conventions, understand 32B parameters & AWQ/GGUF quantization formats, with 4-bit VRAM estimation formulas, MOE model pitfalls, and model selection by GPU tier.

Tutorials

Complete Guide to Local LLM Deployment…

2026年5月27日·2 min

Complete Guide to Local LLM Deployment with Ollama: AI That Works Offline

Complete guide to deploying open-source LLMs locally with Ollama. Covers installation, model selection, VRAM requirements, and performance comparison of Llama 3 and Qwen models. Free, offline-capable AI.