Can a 10-year-old datacenter accelerator actually compete with modern mid-range GPUs for local AI? In this video, we benchmark the Nvidia Tesla P100 (16GB HBM2) against the RTX 5060 Ti 16GB to see if it's a viable budget option for your local AI setup. The P100 can currently be found for as low as $80 on eBay. We'll walk through the custom OcuLink eGPU setup, cooling, and CUDA downgrades required to get this card running, and then dive straight into the benchmarks. Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 0:00 - Intro 0:45 - P100 Setup 1:25 - Software & CUDA Configuration 2:05 - GGUF Benchmark 3:56 - BF16 Benchmark 4:51 - GenAI Benchmark 5:27 - Conclusion #localai #lmstudio

Explore MiniMax Agent: https://agent.minimax.io/?utm_media_source=YT&utm_campaign=kol&utm_content=RedStapler_channel Download Agent Desktop: https://agent.minimax.io/download In this video, we dive into MiniMax Agent, a powerful cloud-based AI workspace powered by the SOTA MiniMax M2.7 model. Whether you are looking to scale your productivity, push out web prototypes, or manage your stock portfolio, this all-in-one workspace lets you build complex, automated workflows using just natural language. No local setup or coding required. Chapters: 0:00 - Intro 0:50 - MiniMax M2.7 & MiniMax Agent 1:53 - Use case 1: Interior Design Landing Page 3:44 - Use case 2: Multi Agent Trading Experts 6:18 - Use case 3: Personal Financial Assistant 8:44 - Final Thoughts #ai #openclaw #minimaxai

Looking to run larger local LLMs but limited by your PC's VRAM and physical space? In this video, I'll show you how to build an ultra-compact, DIY eGPU setup for under $90! (Or just $40 if you already have a spare PSU!) Instead of dealing with bulky ATX power supplies or dangling cables from standard PCIe adapters, we are using an Oculink-based solution. This setup minimizes desk clutter, adds a clean modular port to your case, and almost completely bypasses the heavy performance penalties you usually see with Thunderbolt enclosures. Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Chapters 0:00 - Intro 0:26 - The Problem with SFF PCs 0:50 - The Parts List 1:40 - DIY Build Process & Installation 2:49 - LM Studio LLM Benchmarks (Native vs. eGPU) #egpu #localai #gpu

Yesterday, Meta launched Muse Spark, their first flagship model. The official benchmarks suggest it might be lagging behind other flagships in coding and agentic capabilities, favoring health and visual tasks instead. But test scores never tell the whole story, so I spent hours putting it through its paces. In this episode, we dive deep into Muse Spark to see how it handles real-world web development and logic tasks. Let's find out exactly how good (or bad) Muse Spark really is! Follow me on X: https://x.com/redStapler_twit Timestamps: 0:00 - Intro 0:39 - Test 1: Simple Three.js Portfolio Landing Page 1:25 - Test 2: Mid-Size Prompt 2:09 - Test 3: Complex 3D Particles & Horizontal Scrolling 3:57 - Test 4: Element Physics Simulator 5:07 - Test 5: Procedural Level Generation 6:11 - The Good & Final thought

Want higher tokens-per-second (t/s) for your local AI models? In gaming, overclocking your GPU directly boosts framerates—but does it do the same for text generation and prompt processing? In this video, we put GPU overclocking to the test using an RTX 5060 Ti 16GB. We break down exactly how much extra performance you can squeeze out of your graphics card in LM Studio, testing both Core Clock and Memory Clock increases. We also compare Dense models (Qwen 3.5 27B) against Mixture of Experts / MoE models (Qwen 3.5 35B) to see how model architecture impacts your overclocking gains, and reveal the one scenario where overclocking is completely useless. Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Chapters: 00:00 - Intro 00:24 - Baseline Test 01:09 - Core Clock vs. Memory Clock Benchmarks 01:51 - Combined GPU Overclocking Results 02:23 - MoE Model Test 03:18 - CPU Offloading Test 03:47 - Conclusion #localai #localllm #gpubenchmark #ai

We rank the Top 5 best budget GPUs for running local AI in 2026. If you need high VRAM without destroying your wallet, these are the top graphics cards you should consider buying right now. Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 0:00 - Intro 0:22 - #5: RTX 5060 Ti 16GB (The Best New NVIDIA Card) 1:00 - #4: RTX 4060 Ti 16GB (The Used 16GB Value) 1:37 - #3: AMD RX 9060 XT 16GB (Cheapest Brand New 16GB) 2:06 - #2: RTX 3080 20GB* (The High VRAM Gamble) 2:47 - #1: RTX 3060 12GB (The Ultimate Budget AI King) #localai #localllm #gpu

Running local AI models requires massive amounts of VRAM, but what if your motherboard is out of PCIe x16 slots? Before you sacrifice a storage slot for an M.2 adapter or buy a whole new motherboard, we need to answer one question: Can you use a PCIe x1 slot for local LLM inference? In this video, I run benchmarks on a budget multi-GPU setup to see if pooling VRAM over a slower PCIe x1 slot ruins your AI performance. Using llama-bench, we test prompt processing speed (Time to First Token) and token generation speed across single and multi-GPU configurations, comparing full GPU offloading against partial CPU offloading. If you are a hobbyist trying to build a budget local AI rig with old GPUs, the results might surprise you! Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 ⏱️ Timestamps: 0:00 - The VRAM Problem & PCIe x1 Solution 0:47 - Test Setup & Hardware Overview 1:03 - Single GPU Test: RTX 4060 (x16 vs x1) 2:05 - Single GPU: Partial CPU Offloading 2:50 - Multi-GPU Test: RTX 4060 + RTX 2060 3:42 - Swapping GPU Slots & Partial Offloading Results 4:27 - Conclusion: Does PCIe bandwidth matter for AI? #localai #localllm #gpu #ai #benchmark

How I vibe coded a complete, 3D First Person Shooter running at 144 FPS directly in the web browser! I had ZERO game dev experience prior to this, and I used 100% FREE tools to make it happen. Instead of a traditional game engine, we are using Three.js and AI coding agents (Google Antigravity, Gemini 3.1 Pro, and Claude Opus 4.6) to write the entire game from scratch. I’ll walk you through my exact AI prompts, my workflow for finding free 3D models and HDRI maps, and how we solved complex performance issues. Follow me on X: https://x.com/redStapler_twit Play the Demo here: https://theredstapler.github.io/orb-shooter/ Source Code & Attribution: https://github.com/theredstapler/orb-shooter/tree/main *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 ⏱️ Chapters: 0:00 - Intro 0:47 - Game Engine 1:40 - AI Agent & Game Assets 2:43 - The Prompt 3:28 - First Playtest 4:06 - Adding Enemies and Boss 4:48 - Adding Shaders 5:26 - Performance Issues 6:09 - Sound Effects & AI Music 6:56 - Polishing 7:15 - Final Result #vibecoding #threejs #aicoding #fpsgames #gamedev

Alibaba’s newly released Qwen 3.5 35B is causing a massive stir in the AI community. It beats Claude Sonnet 4.5 across major coding and reasoning benchmarks despite being a fraction of the size. But is it too good to be true? Was this model just trained to ace benchmarks, or is it actually really good? In this video, we put the benchmark numbers aside and test Qwen 3.5 35B in real-world coding and web development scenarios. We pit it directly against Claude Sonnet 4.5 (and use Gemini Pro 3.1 as a baseline) to see how it handles agentic coding, Next.js setups, complex Three.js 3D environments, and Python game development! Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Video Chapters: 0:00 - Intro 0:33 - Model setup 0:54 - Test 1: Simple Next.js Landing Page & GSAP ScrollTriggers 2:17 - Test 2: Complex UI & Custom Animations 3:32 - Test 3: Three.js 3D Web Environment & Particles 4:28 - Test 4: The Ultimate Web Design Stress Test 5:53 - Test 5: Logic & Performance (Physics Simulator in JS) 7:05 - Test 6: Python Game Dev (Procedural Mario Clone) 7:50 - Conclusion #Qwen #LocalLLM #aicoding #webdesign #AI

Can you actually run an 80B parameter AI model on a 16GB GPU? In this video, we push the RTX 5060 Ti to its absolute limits by running Qwen 3 Coder Next 80B A3B entirely locally! We’ll test its coding capabilities, compare it head-to-head with Gemini 3.1 Pro, and see if this quantized model is practical for everyday local AI development. With Unsloth's 3-bit iMatrix quantization, optimizing 50k context length, and managing VRAM to fit this SOTA model onto a consumer graphics card. Watch as we put Qwen 3 coder Next to the test with Three.js particles, complex web design layouts, and Python game to see where it shines—and where it breaks. 📌 Timestamps: 0:00 - Intro: Pushing the 16GB GPU to the Limit 0:21 - Qwen 3 Coder Next (80B) Specs & Details 0:47 - The Portable AI PC Setup 1:50 - Test 1: 3D Audio Visualizer Web App (Three.js) 2:37 - Test 2: UI Design Prompt vs. Gemini 3.1 Pro 3:31 - Test 3: Complex Web Layouts & Limitations 4:48 - Final Test: Python Space Shooter Arcade Game 5:18 - Final Verdict & Conclusion *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 🔗 Links & Resources: Qwen 3 Coder Next: https://huggingface.co/unsloth/Qwen3-Coder-Next-GGUF Follow Red Stapler on X: https://x.com/redStapler_twit #LocalAI #Qwen #LLM #Coding #AI

How to give your Local LLM web search capability & internet access using the Model Context Protocol (MCP) in LM Studio (and other apps such as Roo code) Local AI models like Qwen Coder or Llama are trained for offline usage. But we will use a lightweight Web Search MCP built on Playwright. This allows your offline AI to browse the web, search current events and process the data. No API needed! In this tutorial, we cover: -How to install the Web Search MCP -Configuring mcp.json in LM Studio -System Prompt needed to force the model to search the web -Testing the model with real-time queries -Integration with 3rd party apps like Roo Code Resources & Links: Web Search MCP: https://github.com/mrkrsl/web-search-mcp *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Timestamps: 0:00 - The Problem: Local AI Knowledge Cutoff 0:23 - What is Model Context Protocol (MCP)? 0:37 - The 3 Web Search Tools 1:29 - Installing MCP 2:25 - Setting System prompt and template 3:07 - Testing 4:24 - Important Note: Using MCP with Roo Code & API

Can you spot the difference between a compressed 3-bit model and a full 8-bit render? In this video, we test Flux Klein 9B and Z-Image Turbo to see if low quantization really ruins image quality. Theoretically, dropping bits should lower quality—but by how much? In this video, we run a side-by-side comparison using identical seeds, prompts, and settings for Q3 Q4 Q5 Q6 and Q8 quantized model with 3 distinct tests: Simple Human Portraits: Testing basic texture and sharpness. Complex Lighting & Composition: Pushing the models with detailed prompts. Detail Stress Test: The "Clock & Hand" test to check prompt adherence and text rendering. If you are struggling with VRAM or want to run larger models like Flux locally, this comparison will help you decide if dropping to Q3 is a safe trade-off. Follow me on X: https://x.com/redStapler_twit Timestamps: 0:00 - Intro: 4-Bit vs 8-Bit Blind Test 0:51 - The Setup: Flux Klein 9B vs Z-Image Turbo 1:02 - Test 1: Simple Portrait Quality 2:14 - Test 2: Complex Prompts & Lighting 3:30 - Test 3: The "Clock" Stress Test (Details & Text) 5:05 - The Verdict: Is 3-Bit Quant Usable? *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 #aiimagegenerator #FluxKlein9B #ZImageTurbo #Quantization #LocalAI #StableDiffusion

Is 8GB of VRAM enough for local AI coding in 2026? Running capable coding agents on consumer hardware is a challenge, but with the right model and RAM offloading, it is possible. In this video, I benchmark 5 promising local LLMs on RTX 4060 8GB to find the sweet spot between speed and coding capability. I test them on real-world web development tasks using Aider and VSCode—from refactoring Next.js projects to full UI redesigns. Model Tested: Nemotron 3 Nano 30B A3B GLM 4.7 Flash OpenAI OSS 20B Qwen 3 Coder 30B A3B Instruct Devstral 2 Small 24B Follow me on X: https://x.com/redStapler_twit *** My Portable AI PC Setup *** CPU: https://amzn.to/3Lx52Vv GPU: https://amzn.to/3YWMPDS RAM: https://amzn.to/49l7vdD Board: https://amzn.to/4poMEfp PSU: https://amzn.to/4po6xU0 Timestamps: 0:00 - The 8GB VRAM Problem 0:33 - Selection Criteria (Speed vs. Smarts) 1:11 - Model List 2:12 - Test Setup & Agent Choice (Why Aider?) 2:59 - Test 1: Refactoring to Tailwind CSS 5:04 - Test 2: Vague UI Instructions 5:50 - Test 3: Complex UI Redesign (Kanban Board) 7:10 - Test 4: CSS Animations & Hallucinations 7:42 - The Winner: Best Model for 8GB 9:00 - Conclusion #LocalLLM #AICoding #RTX4060 #WebDev #AI

In this video, we break down the top 5 Web Design Trends in 2026 that are shaping how we build websites. From the rise of "Dark Mode by Default" to the experience of "Cinematic Scrollytelling," these are the design strategies you need to know to stay ahead of the curve. Credits and Links to websites shown in this video: https://redstapler.co/5-web-design-trends-that-will-define-2026/ Follow me: https://x.com/redStapler_twit About the Trends 1. Kinetic Typography Words are no longer static! In 2026, text behaves like a living object—stretching, shrinking, and reacting to your mouse cursor. We explore how designers are using moving text to create conversations rather than just documents. 2. Dark Mode by Default Gone are the days of the optional toggle. With data showing users rarely switch back to light mode, many websites are now launching as "Dark-Only." We discuss why this shift is happening and how it saves resources. 3. Cinematic Scrollytelling It's not just about video; it's about pacing. Learn how scroll-triggered animations, parallax effects, and frameworks like Three.js are turning standard webpages into immersive, unfolding stories. 4. Micro-Delight The difference between a good site and a premium one lies in the details. We look at how subtle animations—like confetti clicks or hover effects—make interfaces feel "physical" and high-end without ruining performance. 5. Bento Grids Inspired by Japanese lunchboxes and popularized by Apple, Bento Grids are the ultimate responsive layout solution for 2026. See how this modular grid system organizes complex data beautifully on both desktop and mobile. What we cover in this video: 0:00 - Trend 1: Kinetic Typography (Moving Text) 0:50 - Trend 2: Dark Mode by Default 1:29 - Trend 3: Cinematic Scrollytelling & 3D Effects 2:33 - Trend 4: Micro-Delights & UI Animation 3:20 - Trend 5: Bento Grids (The Modular Layout) #WebDesign #UIUX #designinspiration #GraphicDesign #BentoGrid #DarkMode #KineticTypography

Frontend development is moving fast! In 2026, the shift to WebGPU and the democratization of premium tools like GSAP have completely changed the landscape. In this video, I’m breaking down the top 5 libraries you need to build high-performance, cinematic, and smooth web experiences. Whether you're looking for lightweight physics with Anime.js or high-end 3D rendering with Three.js, these are the tools that will keep your portfolio relevant this year. 🔥 Featured Libraries: Anime.js v4 – The modular comeback with new physics-based systems. Barba.js – SPA without React and the new View Transitions API. Three.js –From WebGL to WebGPU for insane 3D performance. GSAP – Why the industry leader is now FREE for everyone. Theatre.js – How to "direct" your 3D scenes visually without hard-coding. 0:00 Intro: State of Frontend in 2026 0:20 Anime.js v4: Modular Physics 1:16 Barba.js: Smooth Page Transitions 2:29 Three.js: The WebGPU Era 3:28 GSAP: Industry Standard (Now Free!) 4:27 Theatre.js: The Visual Director #Javascript #WebDevelopment #Frontend #Threejs #GSAP #WebGPU #Animation #Coding2026