One simply links up mobiles in the network and #LocalAi is orchestrated across the network of chips. This solves power and corps could have 1000s of devices run on batteries as compute available in their #AI cluster. This solves the many issues of datacenters for corps, hosting their own AI clusters
One can imagine that buying a router could be turned into an #Aibrain as well. The US has already moved to stop sales of Chinese routers, due to... wait for it... national security.
Tie that to having a matching local mobile as the #orchestrator with processing & one can have distributed #LocalAI.
This is also playing into #Intel 's bet on #LocalAi hoping for people to replace, shift over to, computers that still use Intel CPU motherboards, but build Computes not Computers. This still includes the huge computer mfg to run on... and their CPUs.
Besides all this, the coming #DeepSeek4 from #ChineseAI is being test run on #Hauwei chips. Expect China to catch up and offer far more reasonable pricing for #LocalAI, and edge AI in mobile space optimization.
youtu.be/-vnE1qVG3zQ?...
#GoogleQuant is a game changer for #LocalAI. Once we see models incorporating it, one can run larger than 30b on 32 GB of #VRAM on processor platforms like #Intel.
Maybe even a 30b qant4 on 24GB of ram on say an #Intel B60 GB.
Google has this advantage to use it in the #GEMMA4 open source series.
Intel, is doing it to gain #VRAM market share, hardware platform investment in their #LocalAI hardware now. Just as they did with #CPU chips.
#Nvidia can't pivot to cannibalize datacenter sales, and has actively risen prices to avoid that as optimizations like #TurboQuant by #Google are made.
As pointed out in the video there are still a lot of factors. The software layer ( #VLLM vs #Ollama and underplaying code support libraries) ability to run / optimization for other non CUDA based chips is still lacking for token throughput.
#Intel is clearly going after #LocalAI market capture.
New video: Running Gemma 4 on Raspberry Pi 5 with LM Studio CLI, exposing it over local network, and connecting from Zed Editor.
Here's the full walkthrough 👇
youtu.be/kZhAj8--t8w
#RaspberryPi #RaspberryPi5 #Gemma4 #LocalAI #LLM
Local AI Coding Revolution: Why Open Source Models Are Winning Developer Adoption
Local AI coding models are winning developer adoption through privacy, cost, and latency advantages. Ollama, Qwen 3.5 Co…
#AI #LocalAI #Ollama
pooya.blog/blog/local-ai-coding-mod...
The shift to #LocalAI is here. The issue is local #VRAM cost. #GPU cards from #Nvidia are crazy expensive, obviously this plays into their strategy of pushing cloud datacenter compute by making local cost prohibitive.
A 5090 32GB $4K USD
Enter the #Intel #B70 32GB at $1K.
youtu.be/RcIWhm16ouQ?...
Ollama: run AI models directly on your Mac — no cloud, no API keys, fully offline.
Complete review: features, limitations, hardware needs, 5 alternatives.
elephas.app/blog/ollama-review-pros-cons-pricing-alternatives #LocalAI #MacAI
Memory? Check. Hands? Check. Now? Actual power. 🛠️
Expanding the build: RAMAgent is live. Using psutil + Llama 3.1, my Architect now monitors my Ryzen 5, warning me before I tank my RAM. We're moving from "chat" to "production" workflows. 🤖
#Ollama #AIAgents #BuildInPublic #LocalAI #Llama3.1
Zero to fully working local #AI #agents with tools in 2 commands:
> dotnet new btagent
> dotnet run
Part of "Better .NET Templates": nuget.org/packages/Ric...
Github: github.com/richstokoe/b...
Agent Tools nuget: nuget.org/packages/Ric...
#gemma4 #openai #ollama #localai #lmstudio
Busy day, but turned the crash and migration into a silver lining. I will take the win. Now to game with some #subnautica
I hope you are lucky enough to turn 💩into 🌈 today.
❤️🦊
#localai #buildinpublic #gaming #break
🦊 Kitsune is getting a lot more flexible; stabilized the drive migration and hardened the backup system against failures. More importantly, Semantic RAG is no longer hardcoded. You can now route embeddings and rerankers through Ollama, Hugging Face, or local paths directly.
#LocalAI #changelog #d:k
AMD just went Day Zero on Gemma 4 🔥
Every GPU. Every CPU. Every major AI tool, ready NOW.
Most people don't know what this means for local AI on your PC.
Read this 👇
geekrealmhub.com/amd-gemma-4-...
#AMD #AI #LocalAI
SSD Failed. 🦊💥💔
Backed-up. And back up and running. If you do not backup regularly - or have a functioning requirements list, changelog, or have everything hardwired -> Help future you out today.
Now, to sell a kidney for a replacement. 😆
#deltakitsune #buildinpublic #developerlife #localAI
Gemma 4 is now actually usable in llama.cpp. KV cache and tokenizer bugs fixed. You can run it on consumer GPUs without melting your VRAM. #LocalAI #Gemma4 #LlamaCpp
https://bymachine.news/gemma-4-llama-cpp-fixes-kv-cache
Open source LLMs are wild right now. Run `ollama pull llama3.2` and you've got a capable model locally in minutes — no API key, no cost, full privacy. Perfect for testing prompts before spending credits on Claude or GPT. #LocalAI
Again, to prove the only #AmericanAI company that stands a chance against #ChineseAI, #Google is constantly releasing #LLM advancements like #TurboQuant & realizes the market shift to #LocalAI accelerating quickly with #OpenSource smaller models.
#Gemma4 is all that.
youtu.be/Kaq5Ual2ij8?...
First memory, now hands. 🛠️
Building on my local Ollama setup, I’ve added Function Calling via Python. My Llama 3 agent doesn't just "know" things anymore—it DOES things. From checking APIs to managing files, it’s officially an autonomous builder. 🤖
#Ollama #Python #AIAgents #BuildInPublic #LocalAI
A free AI agent that controls your browser inside logged-in pages is now available.
It researches topics.
Compares sources.
Builds structured summaries.
And runs entirely on your computer.
That’s AutoClaw.
Local AI agents just took a big step forward.
#AutoClaw #LocalAI #BrowserAutomation
🚀 New AI Battle: Gemma 4 on Linux! 🐧
I tested the new Gemma 4 (e4b) running locally via Ollama on Linux. How does it solve the "HORSE-EARTH" poem test?
All technical details: www.lotharschulz.info/2026/04/03/g...
#Gemma4 #Linux #Ollama #OpenSource #AI #MachineLearning #LocalAI #SelfHosted
Google Gemma 4: Open-Source AI Models Under Apache 2.0
Google releases Gemma 4, four open-weight AI models from 2B to 31B parameters under Apache 2.0. Run powerful AI locally on phones or workstations....
#Gemma4 #GoogleAI #OpenSource #LocalAI #GenerativeAI
https://scrollworthy.org/trending/gemma-4
35% of ChatGPT inputs are now sensitive data — contracts, client names, source code.
Up from 11% in 2023. Last month: 300M messages leaked.
Your AI shouldn't store your conversations on corporate servers.
elephas.app #AIPrivacy #LocalAI
AI memory loss: FIXED. 🧠
Used a Python loop + messages.append to give my local Ollama agent persistent context. Now my agent "Kong" remembers I’m Alex and stays in its "Senior Dev" persona. Real agents need real memory! 🚀💻
#Ollama #Python #AIAgents #BuildInPublic #LocalAI #Llama3
We’ve added AnythingLLM local support 🎉
Admins can generate professional announcements with #ARM64 NPU support on #Windows 11.
👉 More performance, more privacy.
communitiesofneighbors.lucenti…
#OpenSource #AnythingLLM #CommunityManagement #LocalAI #NPUs
Hemos añadido soporte para AnythingLLM en local 🎉
Los administradores pueden generar anuncios profesionales con soporte para NPUs #ARM64 en #Windows 11.
👉 Más rendimiento, más privacidad.
communitiesofneighbors.lucenti…
#SoftwareLibre #AnythingLLM #GestiónComunitaria #LocalAI #NPUs
RE: https://mas.to/@alternativeto/116328286382232677
À réessayer sur mon Mac
Ollama MLX 지원으로 빨라진 맥 로컬 LLM 구동 환경
https://bit.ly/4uYXqgx
#Ollama #MLX #MacOS #LLM #ArtificialIntelligence #LocalAI #TechNews
