Tiamat
Brian BenzThanks to everyone who joined our Microsoft Reactor session on secure, observable, production-ready agents. Repo + slides for the demo are here:
https://aka.ms/microsoftnvidiademo
Production-ready agents need more than a prompt loop. Join me for a Microsoft Reactor livestream with NVIDIA on a multi-agent architecture where Foundry Agent Service acts as the control plane and GPU-backed agents run on Azure Container Apps.
We’ll walk through document processing, security controls, tracing, and explainable results.
🗓 Mar 11, 2026 • 9 AM PT / 6 PM PT
👉 https://developer.microsoft.com/en-us/reactor/events/26660/
sayzardEndre Stølsvik (@stolsvik)
DeepSeek이 자사 AI 네트워크, 학습 데이터, 인프라를 완전히 오픈소스로 공개했다는 주제의 트윗입니다. Anthropic이 이를 참고하거나 도구를 활용했다는 주장도 있습니다. AI 모델 개발 투명성과 오픈소스 전략의 파급력을 보여줍니다.
Endre Stølsvik (@stolsvik) on X
This is so true: @DeepSeek_ai give out *all* their secrets, network build, training, even infra and systems *as Open Source*. @AnthropicAI has *obviously* read it all, taken inspiration, maybe even straight up *used* their tooling. Then they whine when DS loans a bit back. 🤬
Andrew Jones (hpcnotes)FutureLivingLab (@FutureLab2025)
LLM에서 가장 어려운 부분은 모델 자체가 아니라 인프라라는 관점의 글. Andrej Karpathy가 언급한 'vibe coding'처럼 빠르게 개발하는 방식은 초기 속도에는 도움이 되지만 AI 인프라에서는 확장성이 떨어져 '빨리 배포 → 더 빨리 리팩터'하는 문제로 이어진다는 교훈과 대규모 시스템에서 먼저 깨지는 부분들에 대한 논의를 시작한다.
FutureLivingLab (@FutureLab2025) on X
The hardest part of LLMs isn’t the model — it’s the infra. As @karpathy has discussed, “vibe coding” can be a great way to move fast. Our lesson from AI infra: vibes alone don’t scale — they turn into “ship fast → refactor faster”. What breaks first in large systems: ①
Sinclair TaNeocloud Economics: CoreWeave vs Nebius – Vertical AI Infra Crushes Hyperscalers (60-70% Margins) ⚡
Neoclouds own stack (chips→racks), dodge AWS debt/leasing. Nebius edges CoreWeave on costs; $10B+ ARR potential. AI training explodes demand
Why vertical? 2-3x cheaper GPUs vs cloud giants.
VCs: Next hyperscalers? Founders: Build atop. GPU wars incoming. 📈
Dr. Thompson⚡ Cut GPU costs by 68% without slowing inference.
No hype. Just real infra lessons from shipping AI in production.
👉 Read the full story:
https://medium.com/@rogt.x1997/why-my-ai-startup-cut-gpu-costs-by-68-without-slowing-down-with-runpod-58f71733e86f
#GenAI #AIInfra #MLOps
https://medium.com/@rogt.x1997/why-my-ai-startup-cut-gpu-costs-by-68-without-slowing-down-with-runpod-58f71733e86f
glitchmentalMXLa IA tiene hambre de energía y la solución es nuclear. ⚛️🤖 Analizamos el proyecto de Last Energy para crear mini reactores. ¿Sostenibilidad real o un riesgo necesario para el progreso tech? https://www.glitchmental.com/2025/12/reactores-nucleares-last-energy-ia-infraestructura.html #Nuclear #AIInfra #MastodonTech #CleanEnergy
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