"The most effective debugging tool is still careful thought, coupled with judiciously placed print statements." — Brian Kernighan, co-creator of Unix
COMPUTING
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Axelera AI Showcases Edge AI at Embedded World 2025
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Great start at Embedded World 2025!
We’ve met so many people as excited as we are about Edge AI! Booth H2-440 – Come see: Live AI Demos 1:1 Chats Metis M.2 Giveaway #EmbeddedWorld #EdgeAI #AxeleraAI -
EuroHPC JU Selects Additional AI Factories for Europe’s AI Leadership
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The EuroHPC JU Selects Additional AI Factories to Strengthen Europe’s AI Leadership – EuroHPC JU https://
eurohpc-ju.europa.eu/eurohpc-ju-sel
ects-additional-ai-factories-strengthen-europes-ai-leadership-2025-03-12_en
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#digitaleu #ArtificialIntelligence #innovation #technology @DigitalEU @ArturHabant @elaniazito @BetaMoroney @PawlowskiMario @JolaBurnett @CurieuxExplorer -
DataRobot and NVIDIA AI Stack for Agentic AI Development
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It’s almost time for #GTC25! Join our session to see how DataRobot and @nvidia provide an #AI stack that speeds up development and delivery of turnkey AI solutions and apps, all hosted in your GPU Cloud. Schedule a booth demo here: https://
bit.ly/41yc95m #AI #agenticAI -
Llama.cpp Image-Compatible Playground Guide Released
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BTW Son's image-compatible playground is super cool Guide on how to run it: https://
github.com/ggml-org/llama
.cpp/discussions/12348
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Flash vs HDD: AI-Driven Storage for Sustainable Future
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Flash vs HDD: The battle for a sustainable future! HDDs are energy guzzlers. Flash storage & AI-driven automation are the future!
Find out how Lenovo is making storage smarter & greener in my latest video! Watch now https://
youtube.com/shorts/hA-p8hS
MsjI
… #GreenTech #AI #Cloud -
Meta Develops In-House AI Chip to Reduce Training Costs
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Meta is testing a new, in-house chip to cut costs on AI training
— Rowan Cheung (@rowancheung) 12 mars 2025
Manufactured by TSMC, the chip is part of the company's MTIA series and is likely to be deployed in 2026
It will help Meta cut reliance on Nvidia's pricey GPUs for training large modelspic.twitter.com/Blpj3jusDjMeta is testing a new, in-house chip to cut costs on AI training Manufactured by TSMC, the chip is part of the company's MTIA series and is likely to be deployed in 2026 It will help Meta cut reliance on Nvidia's pricey GPUs for training large models
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Waymo Launches Public Autonomous Taxi Service on Peninsula
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Exciting news: @Waymo is beginning public service on the Peninsula, starting with Palo Alto, Mountain View, and Los Altos! Initial service area below.
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Training Compute Costs and AI Emissions: Research Data Analysis
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That paper is more about training compute costs and emissions than about inference. Unfortunately, lots of published work in the training emissions area is rife with misinformation. This paper I and others wrote has more data on this topic:
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SambaNova’s Deep Research 3X Faster Than GPUs, Saves Millions
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They not like us 😎
— SambaNova (@SambaNovaAI) 11 mars 2025
⚡️ 3X faster than GPUs
💰 Save MILLIONS per year
See the difference in SambaNova's Deep Research vs. GPU providers👇They not like us 3X faster than GPUs Save MILLIONS per year See the difference in SambaNova's Deep Research vs. GPU providers