[AI 리서치의 미래: 레시피에서 밀키트로

AI 논문 폭증으로 인한 'Noise Tax' 증가와 논문-to-프로덕션 실패 모드 4가지가 강조되며, 2026년에는 패키징된 AI 솔루션(밀키트)이 DIY 구현을 대체할 것으로 전망됩니다. NVIDIA NIM, SLM, Ollama 등 표준화된 패키징 솔루션이 주목받고 있습니다.

https://news.hada.io/topic?id=25979

#airesearch #packaging #llmdeployment #nvidianim #slm

AI 리서치의 미래: 레시피에서 밀키트로

<h3>핵심 요약 (TL;DR)</h3> <ul> <li> <p><strong>AI 논문 폭증 = 진보 + 동시에 ‘Noise Tax’</strong></p> <ul> <li>2013 → 2023 연간 AI 논문: ...

GeekNews

🚨 Still deploying your LLMs on GPUs? You’re wasting time and money.
Groq’s LPU runs at ⚡500 tokens/sec⚡ with 1ms latency. That’s not hype—it’s production-ready speed.
Discover 6 real-world apps that prove Groq is rewriting the rules of AI deployment.👇

👉 https://medium.com/@rogt.x1997/train-llms-in-minutes-not-hours-6-use-cases-that-prove-groq-is-the-fastest-way-to-serve-llms-c8fc98e45dfb
#LLMDeployment #Groq #AIAcceleration
https://medium.com/@rogt.x1997/train-llms-in-minutes-not-hours-6-use-cases-that-prove-groq-is-the-fastest-way-to-serve-llms-c8fc98e45dfb

Train LLMs in Minutes, Not Hours: 6 Use Cases That Prove Groq Is the Fastest Way to Serve LLMs

There’s a moment — right after you hit run on your training script — when every AI developer quietly prays to the GPU gods. You’ve waited hours, sometimes days, for a response. And when it finally…

Medium