You pitch an idea We pick the 10 best Each gets a €1,500 AI Project Kit for free Then you build your project and share your journey over 4 weeks.
Real-world vision AI. Real results. 2/6
AI HARDWARE
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AI Project Kit Competition: Build Vision AI in 4 Weeks
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Pioneer 10 Challenge: Build AI That Acts and Reacts
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Calling all #AI developers, engineers & makers!
We’ve just launched the Pioneer 10: Recognize & React Project Challenge — your chance to build AI that acts, not just detects, with some amazing free AI gear for selected creators. https://
eu1.hubs.ly/H0k5Fc90 1/6: Here’s how it -
Deploying DeepSeek-R1 Distill: GCP Infrastructure Trade-offs
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Excited to share insights from our latest guest post on Decoding ML by @iusztinpaul
! We walk through deploying DeepSeek‑R1 Distill on three infrastructure models—each with its own trade‑offs: 1. Google Cloud Platform (GCP) • Self‑managed VM with an NVIDIA L4 GPU
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DeepSeek-V3 Scaling Challenges and AI Hardware Architecture Insights
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Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper: https://
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DeepSeek-V3 Scaling Challenges and Hardware Infrastructure Analysis
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New from DeepSeek! They just released a paper diving into the scaling challenges and hardware reflections behind DeepSeek-V3. As large language models (LLMs) scale, hardware becomes the bottleneck. DeepSeek-V3—trained on 2,048 NVIDIA H800 GPUs—offers a compelling case study
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NVIDIA Builds Intelligence Infrastructure for Industrial Revolution
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We’re entering a new industrial revolution. This time, intelligence is the product. At NVIDIA, we’re building the infrastructure of intelligence and turning computing into a generative force for every industry. Read more in our annual review: https://
nvda.ws/4dixtA5
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Untether AI Director Presents AI Inference Solutions at Hamburg DataCenter Day
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Our Director of Sales EMEA will present "Beyond GPUs: Purpose-Built Acceleration for Scalable AI Inference" at @hamburgnet's #DataCenterDay 2025! 📅 May 16 ⏰ 12:45 PM 📍 Hamburg, Germany Register: hamburgnet.com/datacenter-da… Book a 1:1 with Christian: untether.ai/eventreg/?label=…
→ View original post on X — @untetherai, 2025-05-14 18:00 UTC
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Hardware Development Challenges in AI Projects
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“Do hardware, they said. Avoid frustration, they said. What could possibly go wrong, they said.”
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David Sacks on AI GPUs: Access and Power Concentration
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Excellente mise au point de David Sacks sur les GPU pour l'IA.
— VISION IA (@vision_ia) 14 mai 2025
Le vrai problème, ce n’est pas qu’on vole des GPU en douce… C’est que trop peu de pays y ont accès.
Le risque, c’est la concentration du pouvoir technologique, pas une mallette de contrebande.
Traduction :
Le… https://t.co/TW6BuJKBEnExcellente mise au point de David Sacks sur les GPU pour l'IA. Le vrai problème, ce n’est pas qu’on vole des GPU en douce… C’est que trop peu de pays y ont accès. Le risque, c’est la concentration du pouvoir technologique, pas une mallette de contrebande. Traduction : Le
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Stable Audio Open Small: On-Device Music Generation for Smartphones
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Today we’re open-sourcing Stable Audio Open Small, a 341M-parameter text-to-audio model optimized to run entirely on @Arm CPUs.
— Stability AI (@StabilityAI) 14 mai 2025
This means 99% of smartphones can now generate music-production samples in seconds, right on-device with no internet required.
Built for fast,… pic.twitter.com/LryqPlfwjjToday we’re open-sourcing Stable Audio Open Small, a 341M-parameter text-to-audio model optimized to run entirely on @Arm CPUs. This means 99% of smartphones can now generate music-production samples in seconds, right on-device with no internet required. Built for fast,