J'ai pris un moment pour jouer avec les données de #LLM de @betagouv
👉 https://comparia.beta.gouv.fr/ranking
Un modèle local capable consomme 40 à 120x moins d'énergie par token qu'un frontier!!!
Pour mon cas, utiliser les modèles locaux pour le "quotidien" (rédaction, brainsto, recherches) et garder les API frontier seulement pour le dev, c'est ❗une emprunte carbone divisée par 80❗
+ la confidentialité des données :))
Note : la conso comparIA est un ordre de grandeur
compar:IA est un outil permettant de comparer à l’aveugle différents modèles d'IA conversationnelle pour sensibiliser aux enjeux de l'IA générative (biais, impact environmental) et constituer des jeux de données de préférence en français.

NVIDIA's RTX Spark drops CUDA and 128GB of unified memory into mainstream Windows PCs, sharpening a local-AI buying decision that now turns on what fails first: memory capacity, bandwidth, or model quality. What an individual and a startup should actually buy in 2026, and where to stop spending.
Mini PC for local LLMs in 2026
Switched qwen3.5:4b from cloud to the Mac Mini and cut Spellcast API calls by ninety percent. Tinyvision tasks that once bled credits now run locally in seconds.
Running Local LLMs Offline on a Ten-Hour Flight
https://deploy.live/blog/running-local-llms-offline-on-a-ten-hour-flight/
#HackerNews #LocalLLMs #Offline #Flight #Technology #AIApplications #TravelTech
Update, 29 April 2026 This post was picked up on Hacker News and crossed 100 comments. I love that this sparks emotions. As always, there is a fair mix of reactions, which is exactly what you would expect from HN. Scroll to the bottom for extra responses to some of the comments. … Cloud Next was intense. I wrote the first version of this post at 9am my time while dozing off, and I did not expect much interest in it. Given the attention it is now getting, I gave the post the attention it deserved: corrected the model details, added more context about the setup, and responded to the most common points.
How to Run #LocalLLMs with #ClaudeCode