Distributed training on M4 Mac Mini cluster We implemented... Google DeepMind DiLoCo on Apple Silicon to train large models with 100-1000x less bandwidth compared to DDP baseline. AI is entering a new era where a distributed network of consumer devices can train large models.show more

Running DeepSeek-V3 on M4 Mac Mini AI Cluster 671B... MoE model distributed across 8 M4 Pro 64GB Mac Minis. Apple Silicon with unified memory is a great fit for MoE.show more

M4 Mac Mini AI Cluster Uses EXO Labs with... Thunderbolt 5 interconnect (80Gbps) to run LLMs distributed across 4 M4 Pro Mac Minis. The cluster is small (iPhone for reference). It’s running Nemotron 70B at 8 tok/sec and scales to Llama 405B (benchmarks soon).show more

if you’re confused about how large language models work... this new animation from google deepmind should clear a lot of things upshow more

Preparing to run the new Llama 3.3 70B on... my mac cluster. Downloading model shards onto 3 x M4 Pro Mac Mini and 1 x M3 Max MacBook Pro. AI cluster is connected by Gigabit ethernet switch with EXO Labsshow more

Day 1: Benchmarks We ran 1000+ LLM benchmarks on... real consumer devices. Data includes single-device and multi-device clusters with Tokens-Per-Second (TPS) and Time-To-First-Token (TTFT). Setups tested: 3x M4 Mac Mini cluster, iPhone 15 + S24, RTX4090 & more.show more

Presenting the world’s first autonomous, on-demand data network for... specialized AI models. Turf DevNet is live on the Avalanche🔺 network🔺 Builders can now use contextual Data Feeds to train smarter AI 🧵show more

Artificial Intelligence (#AI) models that process and interpret visual... data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️show more

A teaser of DeepCoreCloud! With 100+ GPUs in a... high-performance cluster, we’re bringing 24/7 AI computing to the world. Train models, deploy AI, and scale without limits! DeepCoreCloud is built for innovators. The future of AI infrastructure is almost here. Are you ready? #DeepCoreCloud #ItronixAI #GPUClustershow more

m4 mac mini cluster with 5 nodes running exo

🌐 Experience the Power of Edge Computing with Hyra... AI! We’re scaling at microsecond speed with Train-to-Earn: ⚡ 7.5B+ AI jobs completed 📱 2.2M+ active devices 💰 528M+ $HYRA rewards distributed Join a global movement of AI builders & earners. 🍎 iOS: 📱 Android:show more

you can just ▲ ai gateway models ⬩ 1... api key to rule them all ⬩ AI SDK & @openai compat ⬩ globally redundant and distributedshow more

The new M4 Mac Mini is sooo mini!!

Improving tropical cyclone prediction can help communities better prepare... & stay safe. Developed with Google DeepMind, we're launching Weather Lab to share our AI weather prediction models, starting with the new experimental cyclone prediction model. 🧵show more

LLMs + Elixir: distributed tracing for targeted processes anywhere... on the cluster with realtime UI. Idea to shipped, sub 30min:show more

🚀 From smartphones to servers, each connected node fuels... the AI of tomorrow. 💡 In this new era, compute is the new oil and Hyra AI is building the pipeline with a decentralized network where your idle devices become powerful engines for AI. Explore more 👉show more

We are entering a new era of on-device automation.... ✨ Watch Gemma 4 E4B navigate and drive an iOS simulator directly using Argent. Local models can handle complex interactions and software navigation autonomously.show more

300+ devices. Millions of real-time signals. One decentralized weather... oracle. We’re partnering with Nubila Network (mainnet arc) to bring hyperlocal, verifiable climate data to Nexus—fueling prediction markets, AI models, and on-chain protocols.show more

We found a new way to get language models... to reason. 🤯 No RL, no training, no verifiers, no prompting. ❌ With better sampling, base models can achieve single-shot reasoning on par with (or better than!) GRPO while avoiding its characteristic loss in generation diversity.show more