“Thiel, a co-founder of #Palantir and #PayPal, said: “The future demands more compute than we can imagine. Extraterrestrial solutions are no longer science fiction. #Panthalassa has opened the ocean frontier.”

The company’s “nodes” stand almost as tall as Big Ben in London or New York’s Flatiron Building. Most of the 85-metre-long solid-steel structure sits below the surface, including a hermetically sealed container holding the #AIServer, cooled by #seawater.

The vessels can drive themselves to their destination, using the shape of their hull to propel themselves through the #waves without an engine.”

Nothing, not the land, air or sea escapes the oligarch’s quest for wealth.

#AI / #Energy / #Power / #renewables> / #ocean 🌊 <https://archive.md/lmLvX> / (paywall) <https://www.ft.com/content/711ce313-16fb-4a12-b6be-fbed547c8a39>

Ronald Mannak (@ronaldmannak)

Pico AI Server에 대규모 업데이트가 적용되었습니다. 새로운 Tahoe 스타일 인터페이스, 통합된 대시보드, 메모리 사용량/압박 표시, 메모리에서 모델 제거 기능 등이 추가되어 서버형 AI 도구의 사용성이 크게 개선되었습니다.

https://x.com/ronaldmannak/status/2034307838915555660

#pico #aiserver #update #developertools #models

Asus addio smartphone: stop a Zenfone e ROG Phone
#Affari #AIServer #ASUS #Business #IntelligenzaArtificiale #JonneyShih #MercatoSmartphone #NVIDIA #Robotica #ROGPhone #Smartphone #TechNews #Tecnologia #Zenfone

https://www.ceotech.it/asus-addio-smartphone-stop-a-zenfone-e-rog-phone/

IT'S LIVE! 🚀 Chiefgyk3d is BUILDING an AI/LLM server NOW! 🤯 Plus Homelab upgrades, Cybersecurity, and Linux gaming! Don't miss out! Join the chaos!
#AIserver #Homelab #Cybersecurity #LinuxGaming

https://kick.com/chiefgyk3d

Đang xây dựng server AI local với 2 lựa chọn GPU: hai RTX 4070 Ti Super hay hai RTX 5060 Ti? Muốn chạy LLM lớn hơn với 32GB VRAM, tốc độ ~50 tokens/s. Băn khoăn về hiệu năng PCIe 5.0, FP4 support và thiết lập dual-GPU. #AIServer #BuildPC #LocalAI #MáyTínhAI #XâyDựngPC

https://www.reddit.com/r/LocalLLaMA/comments/1njnh6o/hardware_insight_building_local_ai_server/

Hey everyone 👋

I’m diving deeper into running AI models locally—because, let’s be real, the cloud is just someone else’s computer, and I’d rather have full control over my setup. Renting server space is cheap and easy, but it doesn’t give me the hands-on freedom I’m craving.

So, I’m thinking about building my own AI server/workstation! I’ve been eyeing some used ThinkStations (like the P620) or even a server rack, depending on cost and value. But I’d love your advice!

My Goal:
Run larger LLMs locally on a budget-friendly but powerful setup. Since I don’t need gaming features (ray tracing, DLSS, etc.), I’m leaning toward used server GPUs that offer great performance for AI workloads.

Questions for the Community:
1. Does anyone have experience with these GPUs? Which one would you recommend for running larger LLMs locally?
2. Are there other budget-friendly server GPUs I might have missed that are great for AI workloads?
3. Any tips for building a cost-effective AI workstation? (Cooling, power supply, compatibility, etc.)
4. What’s your go-to setup for local AI inference? I’d love to hear about your experiences!

I’m all about balancing cost and performance, so any insights or recommendations are hugely appreciated.

Thanks in advance! 🙌

@[email protected] #AIServer #LocalAI #BudgetBuild #LLM #GPUAdvice #Homelab #AIHardware #DIYAI #ServerGPU #ThinkStation #UsedTech #AICommunity #OpenSourceAI #SelfHostedAI #TechAdvice #AIWorkstation #LocalAI #LLM #MachineLearning #AIResearch #FediverseAI #LinuxAI #AIBuild #DeepLearning #OpenSourceAI #ServerBuild #ThinkStation #BudgetAI #AIEdgeComputing #Questions #CommunityQuestions #HomeLab #HomeServer #Ailab #llmlab