Models and infrastructure
Model selection, inference economics, local deployment, compression and serving architecture.
27Start with the cornerstone
Latest in this collection
AI & AgentsDeepSeek V4 Flash 0731 on One AI PC: What Actually Works?
Can one GB10, Strix Halo or Gorgon Halo run DeepSeek V4 Flash 0731? A buyer-focused reality check on memory, quantization, privacy, observability and production readiness.
AI & AgentsFine-Tune Gemma 4 Free with Unsloth and Colab
A free browser pilot is real. This guide shows the exact workflow, the limits behind the hype, and what changes before a fine-tuned model can ship.
AI & AgentsTaalas HC1 Review: Is a Hardwired LLM ASIC Worth It?
Taalas reports 17,000 tokens/s from Llama 3.1 8B in silicon. Here is what the benchmark proves, what the hype misses, and when model-specific hardware could pay.
AI & Agentsllmfit Guide: Which Local LLM Fits Your Hardware?
Use llmfit to rank local models before downloading them. Learn what its fit, speed, quality and context scores mean, where estimates can mislead, and how to turn a recommendation into a production decision.
AI & AgentsMiso TTS Self-Hosted vs API: Cost, Latency and VRAM Reality
Miso TTS is expressive and open-weight, but the 110 ms claim belongs to its hosted H100 API, not local inference. Compare hardware, pricing, licensing and production risk before choosing.
AI & AgentsCut RAG Vector Memory 16x: Is Data-Oblivious Quantization Ready for Production?
A new Rust index shrinks 10M embeddings from 31 GB to 4 GB with Google's training-free TurboQuant. What the method proves, where it beats FAISS, the recall trade-off, and how to pilot it.
Complete article directory
- DeepSeek V4 Flash 0731 on One AI PC: What Actually Works?
- Fine-Tune Gemma 4 Free with Unsloth and Colab
- Taalas HC1 Review: Is a Hardwired LLM ASIC Worth It?
- llmfit Guide: Which Local LLM Fits Your Hardware?
- Miso TTS Self-Hosted vs API: Cost, Latency and VRAM Reality
- Cut RAG Vector Memory 16x: Is Data-Oblivious Quantization Ready for Production?
- Shared KV Cache Cut LLM Inference Latency 14x, With No New GPUs
- Lossless LLM Weight Compression vs 8-bit GGUF: What Is Ready for Production?
- Cisco Antares Review: Local Vulnerability Triage Without Sending Code to the Cloud
- NVIDIA Nemotron 3.5 ASR: Is Free Self-Hosted STT Ready for Voice Agents?
- Kimi K3 for EU Companies: API Cost, Data Risk, and a Pilot Plan
- Mesh LLM Review: Can One Large LLM Run Across Multiple Computers?
- Bonsai 27B Review: Can a 27B LLM Really Run on a Phone?
- Soofi S: Is Germany's Sovereign LLM Ready for Business?
- Colibri Runs GLM-5.2 on Consumer Hardware. Here Is the Catch.
- When Local Models Beat APIs: A Break-Even Calculator for EU Companies
- LLM Cost Calculator 2026: Cost per Task, Not Cost per Token
- Rendering Your Prompt as an Image to Cut LLM Costs 60%: Genius or Absurd?
- Cheaper Per Token. More Expensive Per Answer.
- Dario Declared War on Open Source. The Real War Is Over Your AI Bill.
- LLM Gateways Compared 2026: LiteLLM vs OpenRouter vs Portkey vs RouteLLM
- Self-Hosting LLMs in the EU: When Open Weights Actually Pay Off
- Open-Weight LLM Showdown 2026: DeepSeek vs Qwen vs Kimi vs GLM vs Llama
- How to Cut LLM Token Costs in 2026
- When Is an LLM Eval Worth Building? Cost, ROI, and Trusting the Judge
- RAG vs Fine-Tuning vs Long-Context 2026
- LLM API Costs 2026. Architecture Shift