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.
Develop
AI HARDWARE
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Advanced Computational Geometry in AI Hardware and Software
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Tenstorrent unveils new local AI development tool at GDC
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Whether you’re building with AI or just starting to explore what’s possible, we’re unveiling something new at GDC to push local AI development further. Come see it in person starting tomorrow, along with demos and a few surprises. See you at Booth 1354.
→ View original post on X — @tenstorrent, 2026-03-10 20:07 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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Running Claude Code with Local Models on Home GPUs
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I think langgraph/smith is generating solid revenue though last public report was a bit ago
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NVIDIA Vera Rubin deployment reaches 1 gigawatt capacity
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We’re thrilled to partner with @thinkymachines to deploy at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier AI model training.
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NVIDIA Scales Agent Inference with Engineering Stack Innovation
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NVIDIA's AI Engineers: Agent Inference at Scale and "Speed of Light" https://
latent.space/p/nvidia-brev-
dynamo
… @nvidia is embracing Engineers at all levels of the stack: from the sublime DX of @brevdev
, to the open source datacenter framework of Dynamo. @KranenKyle and @NaderLikeLadder join -

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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Compute Layer as Strategic Resource for AI Scaling
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I am glad the analogy connected with you. The compute layer is indeed becoming a strategic resource, since scaling these systems requires not only technology but also careful planning around energy and investment horizons.
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AI Inference Era: The Next Architectural Shift Beyond Training
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The AI training era is reaching its limit. While the world is obsessed with $100B "Gigafactories," we’re looking at what happens next. At MWC Barcelona, Axelera AI CEO Fabrizio Del Maffeo sat down with theCUBE to discuss the Inference Era. The architectural reset of the
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Political obstacles to AI compute infrastructure buildout
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100 %. So long as NIMBY’ism/politicisation doesn’t derail the build out of that compute.