I think what's interesting is that the desire for local AI may inadvertently create a lot more local node users. It's a fraction of the actual compute local AI needs and just requires a decent amount of disk space.
local.ai — Charting the transition from cloud AI to local AI.
Independent benchmark quality and measured serving performance for local hardware you can buy.
Where are the local AI apps?
Millions build AI apps with natural language, but local AI deployment remains complex. Why?
Alex Cheema on Twitter / X
This is why we need open benchmarks for local AI.Otherwise it turns into tribalism and name calling.We will be publishing the largest database of open benchmarks for local AI, tested on 1,000+ real hardware setups. Every device, every interconnect, different… https://t.co/ZsU3PCdSsZ— Alex Cheema (@alexocheema) March 9, 2026
Beyond the Cloud: Brooklyn Zelenka on Local-First Software
Why rely on the cloud when your devices are already powerful? Brooklyn Zelenka explains how local-first computing is revolutionizing software development for collaboration without constant connectivity.
Together AI | The AI Native Cloud
Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.
Why cloud native belongs at the heart of agentic AI: Lessons from building a multi-agent security platform on Kubernetes
In March, I gave a talk at KubeCon + CloudNativeCon Europe 2026 in Amsterdam. After the session, the same questions kept coming up on the CNCF Slack and in person: why build agentic AI on cloud native…
AI-Native Cloud | DigitalOcean
Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.
Z-Space Local AI
ZAI is the Z-Space Local AI project, exploring hardware and software systems at the community level.
AI for Science & Safety Nodes - Request for Proposals
Artificial intelligence is accelerating the pace of discovery across science and technology. But today’s AI ecosystem risks centralizing compute, talent, and decision-making power – concentrating capabilities in ways that could undermine both innovation and safety.
Cloudflare Workers AI | Open-source AI inference
Workers AI facilitates the scalable development & deployment of AI applications at the edge.
Alex Cheema on Twitter / X
It’s kind of crazy but the shitstorm of supply chain issues has created a new best-in-class local AI deployment: M5 Max MacBook clusters.- The memory unit economics are great - each MacBook has 128GB @ 614GB/s for $5k- M5 Max added tensor cores (Apple Neural Accelerators) with… https://t.co/f8STQ0tLZs pic.twitter.com/FLm3oOnyEl— Alex Cheema (@alexocheema) May 14, 2026
Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.
GradientHQ/parallax
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
Did an afternoon / evening speedrun of setting up local AI on the @z-space.ca network with @jacob.cascadia.social @vangarderen.net @hadsie.com - proxmox node for openwebui, npm - ASUS GX10 node for inference - Old Macbook running LiteLLM for routing between machines
Local AI
AI running locally on your device and/or regionally under control of a group, rather than a corporate cloud version.
Local AI
Resources for a local AI setup
jundot/omlx
M5 Ultra Mac Studio Review: The Dream Mac for Local AI Agents
so that new Mac Studio and M5 Ultra have me thinking about 2030 now the wildcard on the $1200ish 2030 Mac Mini is RAM. who knows what the…
talat - the local transcription app for meetings, dictation, and recordings
sandsaber/Grimoire
Local Qwen isn't a worse Opus, it's a different tool
Running local models on an M4 with 24GB memory | jola.dev
Why and How to Run Local Models in Zed
Running local models is good now