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Microsoft and OpenAI renegotiating their partnership
China's AI-powered humanoid robots aim to transform manufacturing
AMD's Zen 5 Threadripper Pro 9000WX flagship CPUs confirmed in official listing
AWS to invest $4B in cloud infrastructure in Chile, its 3rd Latam region
Saudi Arabia launches "Humain" under PIF to build world-class AI infrastructure
Microsoft silently fixes Windows 10 Start Menu jump list bug
Anthropic warns DOJ's proposed Google search reforms could chill AI investment
OpenAI launches GPT-4o image gen with precise text and context-aware editing
Scoring the European Citizen in the AI Era
Ransomware group LockBit appears to have been hacked
Distributed NER model training and inference at scale using Accelerate
Has anyone here compared Accelerate vs. DeepSpeed or Horovod for large-scale NLP workloads?
Ask HN: How are you managing LLM inference at the edge?
I’m building a system to run small LLMs on-device (mobile, IoT, on-prem servers) and would love to hear how others have tackled the challenges.Context:Use cases: offline chatbots, smart cameras, local data privacyModels: 7–13B parameter quantized models (e.g. Llama 2, Vicuna)Constraints: limited RAM/flash, CPU-only or tiny GPU, intermittent connectivityQuestions:What runtimes or frameworks are...