title: “Pull the official CUDA 12 image” description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Ai Tools source_version: ’' licensing_model: Open Source license_type: Apache-2.0 file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“ai-tools”] tags: [“video-generation”, “diffusion-transformer”, “tencent”, “hunyuanvideo”, “comfyui”, “docker”, “fp8”, “multimodal”] aliases: /posts/hunyuan-video/- A video generation model that needs 60GB of VRAM for a 5-second clip at 720p is not a toy — it is infrastructure. Tencent’s HunyuanVideo, a 13-billion-parameter diffusion transformer for video generation, has accumulated over 12,100 GitHub stars and become a go-to choice for teams that need cinematic-quality video synthesis on self-hosted hardware. This hunyuanvideo tutorial walks through the complete production setup: from a hunyuanvideo Docker deployment to FP8 quantization, multi-GPU parallel inference, ComfyUI integration, and the monitoring you need when serving video generation production workloads at scale. ...

title: “Weaviate 2026: The AI-Native Vector Search Engine Handli… description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Data Science source_version: ’' licensing_model: Open Source license_type: BSD-3-Clause file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“data-science”] tags: [”] aliases: /posts/weaviate-vector-search-enterprise/- Introduction: When Your Vector Database Chokes at 100M Objects In late 2024", “an e-commerce platform running a popular vector database hit a wall. At 200 million product embeddings”, “query latency spiked from 12ms to 890ms. Filtered vector searches — combining text filters with similarity search — began timing out. The team had built their RAG pipeline on a database that worked beautifully at 10M objects but fell apart at scale. ...

Date: 2026-05-19 Category: AI Trading Tags: Snapshot, DAO, Governance, Voting, DeFi, Web3, IPFS, Blockchain Tool: Snapshot GitHub: snapshot-labs/snapshot — ⭐ 9,500 stars, MIT License Interested in trading governance tokens? Register on Binance to get started with DAO token trading. 1. Introduction: Why DAO Governance Matters in 2026 Decentralized Autonomous Organizations (DAOs) have fundamentally transformed how communities make collective decisions. By 2026, DAOs manage over $50 billion in treasury assets across DeFi protocols, NFT projects, infrastructure networks, and investment collectives. However, on-chain voting on networks like Ethereum remains prohibitively expensive during high congestion periods, with single votes costing $5–$50 in gas fees. This financial barrier disenfranchises smaller token holders and undermines the democratic ethos of decentralization. ...

Date: 2026-05-19 Category: AI Trading Tags: Zapper, DeFi, Dashboard, Yield Farming, NFT, Portfolio, API, Web3 Tool: Zapper GitHub: Zapper-fi — ⭐ 300+ stars, MIT License Start tracking your DeFi portfolio today! Register on Binance or OKX to begin your DeFi journey. 1. Introduction: The DeFi Dashboard Revolution in 2026 Decentralized Finance (DeFi) has exploded into a multi-trillion-dollar ecosystem spanning lending protocols, decentralized exchanges (DEXs), yield aggregators, derivatives platforms, and NFT marketplaces. By 2026, sophisticated DeFi users interact with 20–50+ protocols simultaneously, making portfolio tracking and position management increasingly complex. The fragmentation of liquidity across Layer-1 chains, Layer-2 rollups, and app-chains has created an urgent need for unified dashboard solutions. ...

title: “MLflow 2026: The Open-Source ML Lifecycle Platform Track… description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Data Science source_version: ’' licensing_model: Open Source license_type: Apache-2.0 file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“data-science”] tags: [“mlflow”, “machine learning”, “mlops”, “experiment tracking”, “model registry”, “model serving”, “python”, “open source”, “data science”] aliases: /posts/mlflow-experiment-tracking-production/- Introduction: The Chaos of Untracked Experiments A data science team at a Series B startup was three months into building a recommendation model. They had tried six different architectures, four optimizers, and dozens of hyperparameter combinations. When the product manager asked, “Which version should we ship?”, nobody could answer definitively. The best-performing model was a checkpoint file on a server, and the engineer who trained it had overwritten the training script three git commits ago. ...

title: “Lean: The Open-Source Algorithmic Trading Engine Powerin… description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Ai Trading source_version: ’' licensing_model: Open Source license_type: Apache-2.0 file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“ai-trading”] tags: [”] aliases: /posts/lean-quantconnect-trading-engine/- Introduction: Why Most Trading Engines Fail at Scale Every quant developer has been there. Your Python backtest script works beautifully on your laptop", “but the moment you try to run it on 500 assets with tick data”, “it grinds to a halt. Memory usage balloons to 8GB. The event loop chokes. You realize your “production-ready” backtester was never designed for institutional workloads. ...

title: “Qdrant: The Rust-Powered Vector Database Handling 1M+ Ve… description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Data Science source_version: ’' licensing_model: Open Source license_type: Apache-2.0 file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“data-science”] tags: [“qdrant”, “vector database”, “rust”, “hnsw”, “similarity search”, “docker”, “self-hosted”, “ai”] aliases: /posts/qdrant-vector-database-rust/- Introduction: The Vector Database Bottleneck Every AI Team Hits Your embeddings pipeline is working. Documents are chunked, embedded, and stored. Then someone asks for a search across 500,000 vectors and the response takes 4.2 seconds. The product team wants real-time semantic search. Your current in-memory Chroma setup chokes at 50K vectors. Panic sets in. ...

title: “Meilisearch: The Lightning-Fast Open-Source Search Engin… description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Dev Utils source_version: ’' licensing_model: Open Source license_type: MIT file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“dev-utils”] tags: [”] aliases: /posts/meilisearch-fast-search-engine/- Introduction: Your Database’s ```LIKE```` Query Is Killing Your UX Search is the highest-traffic interaction on most applications. Yet", “63% of web applications still use database LIKE queries for search in 2026. The result? Queries that take 300ms to 3 seconds on datasets over 100”, “000 rows. Users abandon searches after 500ms. You are bleeding engagement. ...

title: “Moralis 2026: The Web3 Data API Powering 100K+ DApps wit… description: “Technical guide and comparison.” date: 2026-05-20T00:00:00+08:00 lastmod: 2026-05-20T00:00:00+08:00 tech_stack: [] application_domain: Ai Trading source_version: ’' licensing_model: Open Source license_type: MIT file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-20” draft: false categories: [“ai-trading”] tags: [“moralis”] aliases: /posts/moralis-web3-data-api/- Blockchain data is the lifeblood of every decentralized application. Whether you are building a DeFi dashboard, an NFT marketplace, a wallet tracker, or a trading bot, your application needs fast, reliable access to on-chain data. In 2026, Moralis remains the most widely adopted Web3 Data API, serving over 100,000 decentralized applications with real-time blockchain data across more than ten EVM-compatible chains. ...

title: “whisper-env\Scripts\activate Windows” description: “Technical guide and comparison.” date: 2026-05-19T00:00:00+08:00 lastmod: 2026-05-19T00:00:00+08:00 tech_stack: [] application_domain: Ai Tools source_version: ’' licensing_model: Open Source license_type: MIT file_size: ’' file_md5: ’' download_url: ’' backup_url: ’' last_maintained: “2026-05-19” draft: false categories: [“ai-tools”] tags: [“whisper”, “speech-recognition”, “asr”, “openai”, “faster-whisper”, “whisperx”, “python”, “docker”, “machine-learning”] aliases: /posts/openai-whisper/- Introduction Speech recognition is the bridge between human conversation and machine-readable data, yet most developers have wrestled with APIs that charge per minute, miss domain terminology, or fail entirely on accented speech. In late 2022, OpenAI released Whisper as an open-source MIT-licensed alternative, and the uptake was immediate — 99,800 GitHub stars later, it is the most adopted open-source ASR system in production. This guide walks through a complete Whisper setup, compares it against WhisperX, faster-whisper, and DeepSpeech, and gives you production-hardened configs you can deploy today. ...