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Tutorials, product updates, and ideas to help you build and ship AI applications faster.

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Nvidia eGPU on AMD Strix Halo: Oculink Setup and Real Speed Gains

How an Oculink port lets an Nvidia RTX GPU pair with AMD's Strix Halo APU in a mini PC, and what that actually does for local LLM speed.

Strix Halo eGPUOculink GPU mini PCRTX Pro 6000 local LLM

Open Weights vs Closed Weights: Why Token Usage Is Flipping

Open-weight models now handle more AI tokens than closed models like GPT and Claude, yet closed labs still capture most of the revenue. Here's why.

open weights vs closed weightsDeepSeek vs AnthropicAI token share

Qwen3.8-Flash-Next: Inside the Qwen 4 Architecture Preview

Qwen3.8-Flash-Next previews Qwen 4's architecture: hybrid gated-delta and sparse attention, engram embeddings, 125B params, 6B active.

Qwen3.8 Flash NextQwen 4 architecture previewgated delta attention

Retell AI Pricing, Free Tier, and How It Builds Voice Agents

How Retell AI's free tier, concurrency limits, and no-code builder work, based on a hands-on build of a phone-based AI voice agent.

Retell AI pricingRetell AI free tierAI voice agent platform

How to Run Breeze TTS 2 Locally: GPU Requirements and Setup

Step-by-step guide to self-hosting Breeze TTS 2, covering GPU memory needs, Docker builds, and voice clone, design, and direction commands.

run Breeze TTS 2 locallyBreeze TTS GPU requirementsself-host TTS model

Run GLM 5.3 Flash Locally: VRAM, Quantization, and Hardware Needs

What it takes to run GLM 5.3 Flash locally, including quantization sizes, MoE architecture, and hardware like the new Mac Studio and mini PCs.

run GLM 5.3 Flash locallyGLM 5.3 Flash VRAMMoE local inference

How to Run Qwen3.8-Flash-Next Locally with llama.cpp

A practical guide to downloading, quantizing, and serving Qwen3.8-Flash-Next locally with llama.cpp, covering VRAM needs on an H100 and quad 3090 rig.

run Qwen3.8 Flash Next locallyllama.cpp Qwen setupUnsloth GGUF Qwen

Splitting a 122B MoE Model Across an Nvidia and AMD GPU with Vulkan

How to run a single 122B-parameter MoE model split across mismatched Nvidia and AMD GPUs using Vulkan and llama.cpp for local inference.

split model across GPUsVulkan llama.cppmixture of experts local inference

Build a Free AI Business Dashboard with ChatGPT Codex

How to build a personal AI dashboard with ChatGPT Codex, combining news, brand mentions, tasks, and newsletters into one control tower app.

AI dashboardChatGPT Codexbuild AI app

How to Price AI Automation Retainers Without Losing Clients

A step-by-step guide to pricing AI automation retainers: diagnose real constraints, pick a KPI, and price against proven value, not guesswork.

AI agency pricingAI automation retainerhow to price AI consulting

How OpenAI and Anthropic Turn Compute Into Profit

A look at the revenue-per-megawatt math behind OpenAI and Anthropic's 2026 shift from venture-funded losses to real profitability.

AI lab profitabilityrevenue per megawattOpenAI profit margin

How to Fine-Tune Qwen3 27B Locally: LoRA, QLoRA and GGUF Guide

Learn how to fine-tune Qwen3 27B on a single GPU using Unsloth, LoRA/QLoRA, and export to GGUF, with dataset creation steps included.

fine-tune Qwen3 27BUnsloth tutorialLoRA QLoRA

IBM Granite 4.2 3B vs 8B: Local Reasoning Model Tested

Hands-on test of IBM's Granite 4.2 3B and 8B models locally, checking VRAM use, tool calling, and reasoning on real prompts.

Granite 4.2IBM Granite localGranite 3B 8B benchmark

How to Run IBM Granite 4.2 Locally with vLLM

Download and serve IBM's Granite 4.2 models locally with vLLM. VRAM needs and setup steps for the 3B, 8B and 30B reasoning variants.

run Granite 4.2 locallyvLLM GraniteGranite 4.2 VRAM

Legora: How a YC-Rejected Legal AI Startup Hit $100M ARR

Legora went from a Y Combinator rejection to $100M ARR in two years. Here's the funding, culture, and product story behind the legal AI startup.

Legora AI legal startupLegora ARRY Combinator legal tech

How Much VRAM Do You Actually Need for Local AI in 2026?

How much VRAM local AI actually needs in 2026, from 24GB cards to 512GB Mac Studios, and why quantization changes the math on every build.

local AI VRAM requirementshow much VRAM for LLMlocal AI budget

Mac Studio M5 Ultra vs DGX Spark: Which Wins for Local AI?

Comparing the upcoming Mac Studio M5 Ultra 512GB to Nvidia's DGX Spark on bandwidth, prefill speed, and price for local AI inference.

Mac Studio M5 UltraDGX Spark comparisonlocal AI hardware

How OpenAI Used Codex to Bypass Nvidia's CUDA Moat

OpenAI reportedly used its Codex model to hand-write chip kernels for its new Jalapeno chip, sidestepping Nvidia's decades-old CUDA advantage.

CUDA moatOpenAI Codex kernelsGluon programming language

OpenAI's Jalapeno Chip: How It Stacks Up Against Nvidia Blackwell

OpenAI's first custom AI chip, Jalapeno, reportedly beats Nvidia Blackwell on performance-per-watt for LLM inference, per SemiAnalysis lab testing.

OpenAI Jalapeno chipOpenAI AI chip vs Nvidiaperformance per watt AI chip

OX Alpha on OpenRouter: Free Access, Limits, and How Long It Lasts

OX Alpha is a free stealth model on OpenRouter with a 1M context window and huge rate limits. Here's what's known about access before it disappears.

OX Alpha freeOpenRouter free modelOX Alpha rate limits

Unlazy: The Skill That Stops AI Coding Agents From Faking "Done"

Unlazy is a free Claude Code and Codex CLI skill that forces agents to prove work is finished with runnable checks, not confident claims.

unlazy skillClaude Code skillCodex CLI

What Is Agent-to-Agent Commerce? Inside Stripe's AI Payment Push

Stripe is building machine payment protocols, agent wallets, and stablecoin rails so AI agents can transact directly. Here's how it works.

agent to agent paymentsAI agent commerceStripe machine payments

What Is EVE Preview 4.5B? Tencent's OCR-Free Document Retriever

Tencent's EVE Preview 4.5B retrieves document pages as images using ColBERT-style late interaction, skipping OCR entirely for tables and charts.

EVE Preview 4.5BTencent visual retrieverOCR-free document search

DeepSeek V4 Flash on One RTX 3090: Real Tokens-Per-Second Numbers

Real benchmark results for running DeepSeek V4 Flash and Qwen 3.8 27B locally on a single RTX 3090 or 4090 using FreeToken's desktop app.

DeepSeek V4 FlashFreeToken desktopRTX 3090 local AI