To run MiniMax M5 on a Mini M5 Max locally
HARDWARE
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Advanced Computational Geometry in AI Hardware and Software
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AI-Assisted Programming for Web and Machine Learning — Improve your development workflow with ChatGPT and GitHub Copilot: https://
amzn.to/48TFU2Z by @chris_noring v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Utilize prompts to enhance frontend & backend web development.
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Human-AI Collaboration on Next Generation Hardware with NVIDIA
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Building technologies for better human-AI collaboration on next gen hardware at scale. Exciting. Thinking Machines (@thinkymachines) We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI. thinkingmachines.ai/news/nvidia-partnership/ [Translated from EN to English]
→ View original post on X — @lilianweng, 2026-03-10 17:08 UTC
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Tenstorrent Shipping 56 800Gig Ethernet Port Galaxies
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Super busy 2 months, great progress @Tenstorrent 56 800Gig Ethernet port Galaxies shipping
→ View original post on X — @tenstorrent, 2026-03-10 16:59 UTC
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Samsung’s Gemini expansion targets 800 million devices globally
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Samsung wants Gemini on 800 million devices by end of 2026. This is what mass-market AI actually looks like — not a frontier model in a data centre, but a mid-range phone in Lagos, Jakarta, or Nairobi. The benchmark wars are the wrong lens. #AI
→ View original post on X — @svenphilipsen, 2026-03-10 16:00 UTC
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NVIDIA CEO Jensen Huang on AI’s Five-Layer Stack Rebuild
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The AI era is a full-stack rebuild, from power to models to real-world applications. Here’s NVIDIA CEO Jensen Huang on the five-layer AI cake driving the shift.
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Soumith Celebrates Continued Partnership with NVIDIA and PyTorch
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to me personally, this continues the years of close partnership with NVIDIA I've had via @PyTorch. working with them is always such a joy!
→ View original post on X — @soumithchintala, 2026-03-10 13:52 UTC
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Meta partners with NVIDIA for 1GW compute infrastructure and AI systems
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Excited to partner with NVIDIA. bringing up 1GW or more of compute starting with Vera Rubin, co-designing systems and architectures together, and more. NVIDIA has also made a significant investment in @thinkymachines Thinking Machines (@thinkymachines) We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI. thinkingmachines.ai/news/nvi… — https://nitter.net/thinkymachines/status/2031356627916603876#m
→ View original post on X — @soumithchintala, 2026-03-10 13:51 UTC
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Energy and Talent: Critical Bottlenecks for Large-Scale AI
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At the moment, the pressure seems to concentrate on two areas: energy and talent, since large-scale compute requires enormous power capacity while the number of people who can design and operate these systems remains relatively small. Over time, the balance may change, but today
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AI Expansion to Edge Devices Demands Open 5G and AI-Native 6G
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#AI is leaving the data center for robots, sensors, drones, and #XR. It needs open, programmable #5G now and AI-native #6G next. 5G SA brings slicing, automation, and open APIs. Read more on Börje Ekholm’s blog: http://
m.eric.sn/QlCS50XXRZV via @ericsson #MWC26