Tensor Parallelism is a bandwidth multiplier btw That’s why stacking Mac Studios / DGX Sparks / GPUs increases tokens/second (The rate at which the bandwidth is multiplied is what differentiates Unified Memory from VRAM as well)
HARDWARE
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Best entry point local LLMs punch above weight low hardware
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To clarify, I never said they were equal (I also believe that local will eventually get there, but that’s different story) These 2 models are the current best entry point for people interested in local LLMs, they punch above their weight w/ relatively low hardware requirements.
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Robot Valet Eliminates Parking Stress with Autonomous Technology
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No More Parking Stress: This #Robot Valet Handles It All
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by @IntEngineering#Robotics #Engineering #Innovation #Technology pic.twitter.com/Rui1oL69MhNo More Parking Stress: This #Robot Valet Handles It All by @IntEngineering #Robotics #Engineering #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-08 03:58 UTC
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Another Humanoid Robot Enters the AI Robotics Race
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Another Humanoid #Robot Enters the Race: The Future of #AI #Robotics Accelerates
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by @XRoboHub
#Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/2IR9eoHQfNAnother Humanoid #Robot Enters the Race: The Future of #AI #Robotics Accelerates by @XRoboHub #Engineering #ArtificialIntelligence #Innovation #Technology
→ View original post on X — @ronald_vanloon, 2026-04-08 03:20 UTC
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Maximize Single GPU Power with Qwen 3.5 and Gemma 4
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You don’t need Mythos, just learn how to use Qwen 3.5 27B and Gemma 4 31B and you’ll realize you have so much intelligence under your control on a single GPU
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Hermes AI Model Performs Better on Mac Mini Hardware
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The nerd building a system for me says Hermes runs better on a shitty Mac Mini.
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Robots and Humans in Shared Virtual Spaces: Beyond World Models
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Interesting post by @peteflorence who is a robotics pioneer. He triggered me by positioning against people who talk about technology like world models. But he is right. Where we are going with robotics is the interesting part. It is clear to me that both humans and robots will work and play together in a shared Holodeck. The nerds call them SLAM maps but they basically turn your house, or wherever, into grids of tiny cubes with a virtual display on each side. Like 1 mm cubes. Voxels. I can see these when I turn on my Apple Vision Pro. And the computer can change the display into anything else. I turn the knob on my headset and it changes my kitchen to Yosemite National Park. It can change the clothing on your robot too. Which gets to the point. A decade from now we aren’t going to care what is running the robot. World Model or whatever AGI-driven technology soon will come. Just that it does stuff for us and with us. My expectations are that it will do anything you can think of doing. Not there yet. Pete Florence (@peteflorence) x.com/i/article/204137153848… — https://nitter.net/peteflorence/status/2041529286562402804#m
→ View original post on X — @scobleizer, 2026-04-08 00:16 UTC
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Running Large AI Models on Mac Studio and GPU Servers
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I expect you could cram it into a 512GB Mac Studio – and there are quants that light run on 256GB with inches to spare Other than that it's huge NVIDIA GPU servers
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Local AI Agents Running on Mac M1 Hardware
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Hello OpenClaw, Hermes Agent, @Apple and whoever else.
— Jeramie Hicks (@JeramieHicks) 7 avril 2026
Today was the day where I finally get to throw my hat in the ring.
Local agentic ai on an old Mac M1 pic.twitter.com/0pT4hgtRbzHello OpenClaw, Hermes Agent, @Apple and whoever else. Today was the day where I finally get to throw my hat in the ring. Local agentic ai on an old Mac M1
→ View original post on X — @scobleizer, 2026-04-07 23:46 UTC
