#LocalInference
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adriend.linuxtricks.fr
Besoin de retranscrire du contenu audio ou vidéo 100 % en local ? 🎙️⚡

Découvre whisper.cpp dans ma dernière vidéo !

➡️ youtu.be/4y5wyLK8xjI
#OpenSource #AI #Whisper #Tech #LocalInference

(Vidéo réuploadée suite bug youtube)
August 1, 2026 at 5:31 AM
iamleeg.bsky.social
Configuring local inference in Xcode: how I set up Xcode, OpenCode, LM Studio and Gemma 4 for local, agentic software development through the Coding Assistant UI.

www.patreon.com/chironcodex/...

#Xcode #localai #lmstudio #localinference
August 11, 2026 at 7:28 PM
ostechnix.bsky.social
Learn how to run a private, offline AI coding assistant with Atomic Chat on Linux. Install it, download a coding model, and code locally without cloud API keys.

Full guide here: ostechnix.com/atomic-chat-...

#AtomicChat #AI #CodingAgent #AIAgent #Opensource #Linux #Windows #Macos #LocalInference
Atomic Chat: Run a Private, Offline AI Coding Assistant - OSTechNix
Learn how to run a private, offline AI coding assistant with Atomic Chat on Linux. Install it, download a model, and code locally without cloud API keys.
ostechnix.com
September 18, 2026 at 3:54 PM
trendai.bsky.social
Run massive AI locally! Use low-bit quantization (Q1 or Q2) to deploy high-parameter models up to 250B on consumer hardware. Maximize your performance by optimizing weight loading and inference efficiency. #AI #LLM #MachineLearning #LocalInference #Quantization https://ai.dappcrypto.org/r/bV
Run massive AI locally! Use low-bit quantization (Q1 or Q2) to deploy high-parameter models up to 250B on consumer hardware. Maximize your performance by optimizing weight loading and inference efficiency. #AI #LLM #MachineLearning #LocalInference #Quantization https://ai.dappcrypto.org/r/bV
July 17, 2026 at 9:01 PM
myfear.com
Image generation quality has exploded, but running it locally is still messy — especially for Java developers and ARM hardware.

A hands-on guide on embedding a native image model directly into the JVM using #Quarkus and the #Java #FFM API.

buff.ly/9t29far

#LocalInference #AIEngineering
February 15, 2026 at 8:25 AM
expertai.bsky.social
Run massive AI locally! Deploy high-parameter models (100B–250B) using low-bit quantization like Q1 or Q2. This strategy allows you to fit huge weights on consumer hardware by optimizing local inference and memory efficiency. #AI #LLM #MachineLearning #LocalInference #Quantization
Run massive AI locally! Deploy high-parameter models (100B–250B) using low-bit quantization like Q1 or Q2. This strategy allows you to fit huge weights on consumer hardware by optimizing local inference and memory efficiency. #AI #LLM #MachineLearning #LocalInference #Quantization
July 17, 2026 at 9:07 PM
wideareaai.bsky.social
When everything agrees on one format, switching costs drop to nearly zero. #selfhosting #localinference #openaicompatible #localllm #localmodels 3/3
July 14, 2026 at 8:15 PM
sylonzero.bsky.social
When I see this, and read the volume increases in tokens (it's in the tens of trillions), my first thought is that we've got to make local inference a first-class citizen of the AI ecosystem!
#ai #localinference #openrouter

OpenRouter Raises $113M Series B
openrouter.ai/announcement...
OpenRouter Raises $113M Series B | OpenRouter
OpenRouter has raised a $113M Series B led by CapitalG, with participation from NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, Databricks
openrouter.ai
May 30, 2026 at 10:32 PM
wideareaai.bsky.social
Quantizing to 4-bit brings a 7B model down to a little over 4 GB. #gpuoptimization #gpuoptimization #quantization #llm #vram #localinference 2/2
June 8, 2026 at 12:32 AM
wideareaai.bsky.social
#gpuoptimization #selfhosting #localai #texttovideo #wan22 #localinference 3/3
August 26, 2026 at 8:05 PM
wideareaai.bsky.social
By the numbers — local inference economics:
• Free for up to 2 nodes
• Zero per-token costs on your own hardware
• No rate limits beyond what your GPU can physically generate
• gemma-4-12b-qat fits a single 12–16GB GPU

#selfhosting #gpuoptimization #batchinference #localinference #gemma #homelab
Dark navy infographic grid with four colorful stat cards showing abstract charts, progress rings, and a GPU chip icon representing local inference economics. Dark navy infographic grid with four colorful stat cards showing abstract charts, progress rings, and a GPU chip icon representing local inference economics. Dark navy infographic grid with four colorful stat cards showing abstract charts, progress rings, and a GPU chip icon representing local inference economics.
August 21, 2026 at 5:10 PM
wideareaai.bsky.social
But tab complete? That has to be local. Sometimes the right architecture is admitting which workloads cannot tolerate a network hop. #selfhosting #localinference #latency #localai #aiarchitecture 3/3
July 15, 2026 at 4:40 PM
jimliddle.bsky.social
Unlocking Edge AI: How A Hybrid Data Architecture Can Power Local LLM Deployments

www.linkedin.com/pulse/unlock...

#AI #EdgeAI #EnterpriseAI #LocalLLM #Ollama #OpenWebUI #LocalInference #UnifiedDataManagement #UnstructuredData #UDM
Unlocking Edge AI: How A Hybrid Data Architecture Can Power Local LLM Deployments
One of the great things about a hybrid unstructured data architecture is that data can be pinned to the edge in a particular location, even when people are working on that dataset on their edge nodes ...
www.linkedin.com
October 24, 2025 at 12:14 PM
sylonzero.bsky.social
Flash-MoE: Running a 397B Parameter Model on a Laptop - companion paper with the full details: github.com/danveloper/f... #localinference #ai #llms #ml #macbook #apple
github.com
March 22, 2026 at 6:31 PM
sylonzero.bsky.social
Very interesting: "Pure C/Metal inference engine that runs Qwen3.5-397B-A17B (a 397 billion parameter Mixture-of-Experts model) on a MacBook Pro with 48GB RAM at 4.4+ tokens/second with production-quality output including tool calling." #localinference #llms #ai #ml #macs

github.com/danveloper/f...
GitHub - danveloper/flash-moe: Running a big model on a small laptop
Running a big model on a small laptop. Contribute to danveloper/flash-moe development by creating an account on GitHub.
github.com
March 22, 2026 at 6:31 PM
aidailypost.com
Just ran setup_env.py and it compiled the BitNet‑b1.58‑2B‑4T C++ backend with CMake in seconds. Ready for local inference on your machine—no Hugging Face hassle. Dive into the details! #BitNet #PythonCMake #LocalInference

🔗 aidailypost.com/news/python-...
March 10, 2026 at 4:32 PM
discover.holos.social.web.brid.gy
sayzard (@sayzard@mastodon.sayzard.org)
Meltdown: LLM Client Made in Python and TkMeltdown은 Python과 Tkinter로 작성된 데스크톱 LLM 클라이언트로, llama.cpp, ChatGPT, Gemini, Claude, Kimi 등 다양한 대형 언어 모델과 인터페이스할 수 있습니다. 로컬 모델 지원을 위해 llama.cpp를 활용하며, GPU 가속(특히 AMD Vulkan 지원)도 가능해 토큰 처리 속도를 크게 향상시킵니다. 다중 프로필, 탭 기반 대화 관리, 커맨드 입력, 마크다운 렌더링, 스니펫 하이라이팅 등 풍부한 기능을 제공해 AI 개발자 및 파워 유저에게 유용한 도구입니다. 설치는 pipx 또는 수동 가상환경 방식으로 가능하며, Linux 환경에서 주로 테스트되었습니다.https://github.com/Merkoba/Meltdown#llm #python #llama.cpp #gui #localinference
mastodon.sayzard.org
May 9, 2026 at 11:39 AM