How much VRAM do you need to run an LLM locally? Do the arithmetic once
VRAM goes to two things: the model's weights and the cache for its context. Both are easy to calculate, and the second…
M morpheus
7 min
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Bineret
Blog
On the AI models, agents, datasets and hardware in the catalogue, and the design, development and SEO work the studio does.
13Articles
8Topics
1Author
Flowise is end of life. What to do with the flows you still run
Flowise reached end of life on 31 August 2026. The timeline, what it means for existing installs, and how to choose between…
M morpheus
7 min
Prompt injection: why filters fail and which defences actually hold
Prompt injection tops OWASP's list of LLM risks because models cannot tell instructions from data. Detection helps a little; architecture is what…
M morpheus
9 min
Self-hosted ChatGPT alternatives: picking one by who will use it
LibreChat, Open WebUI, AnythingLLM, LobeHub and Onyx all run private AI chat. The right one depends on your users, the licence and…
M morpheus
7 min
AI agents vs workflows: most tasks do not need an agent
An agent lets the model decide what happens next. A workflow keeps that decision in your code. How to tell which one…
M morpheus
7 min
What is an MCP server, and when is it worth building one?
MCP gives AI apps one standard way to reach tools and data. What a server exposes, what the July 2026 spec changed,…
M morpheus
7 min