It comes in two sizes: 1.2B and 350M I'm a big fan of the 350M model that can be used on GPUs to do big data operations. It's an absolute banger that shows how powerful fine-tuning can be
COMPUTING
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Tiny Task-Specific AI Models for Edge Devices
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We're releasing a collection of tiny task-specific models Want to do data extraction, translation, RAG, tool use, or math on a Raspberry Pi? We got you covered! Here are a few examples ↓
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Semiconductors and Edge AI Drive Future Connectivity
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Axelera AI joined the NL@MWC x @verenigingHTNL meetup in Eindhoven to explore how semiconductors & #edgeAI drive the future of connectivity. Thanks also to Ecosystem Services & @HollandHighTech for hosting a brilliant session. See you at the next one!
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India Empanels 14000 GPUs for Democratized AI Compute
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AI has long been at the heart of India’s technology roadmap. In his earlier remarks, at the Rising Bharat Summit by @Network18Group, Shri @AshwiniVaishnaw spoke about empaneling 14,000 GPUs to drive democratized AI compute power.
— IndiaAI (@OfficialINDIAai) 25 septembre 2025
With India’s strong software base and… pic.twitter.com/wILEa4ztnOAI has long been at the heart of India’s technology roadmap. In his earlier remarks, at the Rising Bharat Summit by @Network18Group
, Shri @AshwiniVaishnaw spoke about empaneling 14,000 GPUs to drive democratized AI compute power. With India’s strong software base and -
AI Solutions Require Minimal GPU but Extensive Testing Resources
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Solving AI takes zero GPUs. Testing the solution takes many.
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Every Computer Science Subfield Now Oriented Toward AI
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Every subfield X of computer science is now X for AI: hardware for AI, systems for AI, databases for AI, security for for AI, etc.
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Budget GPU Setup Enables Cheap Local Private AI
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we've got an Intel Arc GPU in the house – 2015 build -> ~$250 USD
– Intel Arc A770, 16GB VRAM -> $200 USD
– some tinkering
– local and private AI that you control, for cheap love this kind of effort
the DeepSeek way of making it work -
nvtop PCIe Generation Speed Monitoring Under Load
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How does nvtop show the Pcie gen and speeds under load?
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Stable Diffusion 3.5 FP8 TensorRT Checkpoints Now Available
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Stable Diffusion 3.5 FP8 checkpoints, optimized for TensorRT, are now available. ⚡ 2x AI inference speed, half the VRAM, deployable on all NVIDIA Blackwell devices. Get started ➡️ nvda.ws/4gGkfii @StabilityAI
→ View original post on X — @stabilityai, 2025-09-24 23:01 UTC