LiteLLM is the most widely used open-source LLM gateway: one OpenAI-compatible endpoint in front of Ollama, vLLM, llama.cpp and the cloud APIs, with keys, spend tracking and fallbacks. It is also a project with a difficult 2026. Two of its PyPI releases were published by an attacker in March, and its GitHub security page lists 17 advisories published since April. That is why … [Read more...] about LiteLLM Alternatives in 2026, and How to Run LiteLLM Safely With Local Models
Strata: Running Qwen3.8-Flash-Next on a 12GB Graphics Card
Strata is a free, open-source engine that runs one very large model, Qwen3.8-Flash-Next, on an ordinary gaming PC. The model has 125 billion parameters in its main network, plus a 51-billion-parameter n-gram table, and Ollama's 4-bit build is a 120GB download that does not fit a 128GB machine. Strata's answer is to stop trying to fit it on the graphics card. It splits the model … [Read more...] about Strata: Running Qwen3.8-Flash-Next on a 12GB Graphics Card
Qwen-Image 2.1 in ComfyUI: Files, VRAM, Turbo and the Licence Catch
Qwen-Image 2.1 is the image model everyone in ComfyUI is trying this month. Its Hugging Face repository dates from 14 September 2026, and ComfyUI added native support a week later. One set of weights does text-to-image, instruction editing and transparent (RGBA) images. A Turbo version followed on 9 October. This guide covers what to download, how much memory it needs, the … [Read more...] about Qwen-Image 2.1 in ComfyUI: Files, VRAM, Turbo and the Licence Catch
LM Studio Bionic: What It Does, What It Costs, and What Stays Local
LM Studio Bionic is LM Studio's AI agent: an app that can work through a codebase, edit documents and research a topic, using open models. It launched on 16 July 2026 as a separate app from LM Studio, and its free plan runs models on your own hardware. Whether your work stays on your machine depends on where each session's model runs, and on two details in the documentation … [Read more...] about LM Studio Bionic: What It Does, What It Costs, and What Stays Local
How to Run GLM-5.3-Flash Locally: 321B, MIT Licence, and the Memory It Takes
GLM-5.3-Flash is Z.ai's newest open model, released in August 2026 under a plain MIT licence. It is also big. With 321 billion parameters, of which 18 billion are active per token, it needs roughly 160GB for a usable 4-bit build, so most 128GB machines can only run it at 1 or 2 bits. This guide covers what it needs, which machine runs which build, the one Ollama surprise to … [Read more...] about How to Run GLM-5.3-Flash Locally: 321B, MIT Licence, and the Memory It Takes
How to Run Qwen3.8-Flash-Next Locally: Memory, Speed and the Licence Catch
Qwen3.8-Flash-Next is the most interesting open model of the autumn for anyone with a big-memory machine. It has 180 billion parameters in total, but only 6 billion are active for each token, so it can generate text quickly on hardware that would crawl through a dense model of the same size. Qwen calls it an experimental preview of the architecture behind Qwen4. This guide … [Read more...] about How to Run Qwen3.8-Flash-Next Locally: Memory, Speed and the Licence Catch
DGX Spark vs Strix Halo for Local AI: Same Memory Bus, Very Different Price
NVIDIA's DGX Spark and AMD's Ryzen AI Max ("Strix Halo") machines are pitched at the same buyer: someone who wants 128GB of memory for local AI in a box that fits on a desk. On the spec sheet they look like different classes of machine, a Grace Blackwell "AI supercomputer" against a laptop-class APU. For running language models the comparison is closer than that, because both … [Read more...] about DGX Spark vs Strix Halo for Local AI: Same Memory Bus, Very Different Price
Two 16GB Graphics Cards Can Be 3.3x Apart for Local AI
The quick answer Twelve graphics cards in our database carry 16GB of VRAM. Their memory bandwidth runs from 288 GB/s to 960 GB/s — a 3.3x spread at identical capacity. On the same model, that is roughly 38 estimated tokens per second against 127. The GB number on the box tells you which models will load. It tells you nothing at all about how fast they will run. Those are two … [Read more...] about Two 16GB Graphics Cards Can Be 3.3x Apart for Local AI
AI Upscale Models in 2026: Which Still Ship, and Which You Cannot Sell
The quick answer The upscale models almost every Stable Diffusion tutorial recommends have stopped being developed. Real-ESRGAN has 36,976 stars on GitHub and has not received a commit in 789 days. ESRGAN, SwinIR and BSRGAN are all quiet too. None of them is archived, so nothing on the page tells you. That is less alarming than it sounds, and the reason is the useful part of … [Read more...] about AI Upscale Models in 2026: Which Still Ship, and Which You Cannot Sell
ControlNet Models in 2026: Which Ones Still Ship, and What They Weigh
Quick answer 🔴 The original ControlNet repository has not been touched since February 2024 and has made zero commits in 90 days. Nor have its author's other projects — Fooocus, Forge and ControlNet-v1-1-nightly are all dormant too, about 105,000 stars between them. ControlNet itself is not dead. It moved from one reference implementation to independent model authors, and … [Read more...] about ControlNet Models in 2026: Which Ones Still Ship, and What They Weigh