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nascimentoab

3d

Treinar IA sem uma única GPU da NVIDIA: como a China fechou o próprio ciclo

Treinar IA sem uma única GPU da NVIDIA: como a China fechou o próprio ciclo

⏱️ Tempo de leitura: ~5 minutos Introdução Durante anos, a resposta para "o que é preciso para treinar um modelo de fronteira?" era curta e incômoda: GPUs da NVIDIA, muitas. Era menos uma escolha

$ 0.057

13

popularai

3d

M6 Mac mini vs M5 Pro vs M5 Max vs M5 Ultra for local AI: how much unified memory should you buy?

M6 Mac mini vs M5 Pro vs M5 Max vs M5 Ultra for local AI: how much unified memory should you buy?

Buying a Mac for local AI? The most expensive memory upgrade isn’t always the smartest one. Here’s how M6, M5 Pro, M5 Max and M5 Ultra change what you can actually run. Read the full article on Popular

$ 0.000

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nascimentoab

4d

Entrenar IA sin una sola GPU de NVIDIA: cómo China cerró su propio ciclo

Entrenar IA sin una sola GPU de NVIDIA: cómo China cerró su propio ciclo

⏱️ Tiempo de lectura: ~5 minutos Introducción Durante años, la respuesta a "¿qué hace falta para entrenar un modelo de frontera?" era corta e incómoda: GPUs de NVIDIA, muchas. Era menos una elección

popularai

4d

Do you need 10GbE for local AI? 1GbE vs 2.5GbE vs 10GbE for multi-PC LLMs

Do you need 10GbE for local AI? 1GbE vs 2.5GbE vs 10GbE for multi-PC LLMs

Everyone upgrading a local AI network seems to jump straight to 10GbE. But does it actually make your LLM setup faster, or are you spending money on the wrong bottleneck? Read the full article on Popular

bulliontools

1d

ELIXIR Token Is Growing!

ELIXIR Token Is Growing!

It's amazing to see that the ELIXIR token started just three months ago and is now entering the second sales tranche! This next stage will become interesting for everyone as the growth continues at a faster

nascimentoab

4d

Training AI without a single NVIDIA GPU: how China closed its own loop

Training AI without a single NVIDIA GPU: how China closed its own loop

⏱️ Reading time: ~5 minutes Introduction For years, the answer to "what does it take to train a frontier model?" was short and uncomfortable: NVIDIA GPUs, lots of them. It was less a technical