Tag: machine-learning
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Beyond GPUs: Mastering Ultra-Scale LLM Training – Part 2
Introduction In the first part of this series, we unpacked the big picture of scaling LLM training. The “why” and “what” behind ultra-scale setups, and how different forms of parallelism come together to make training trillion-parameter models even possible. That gave us the map. Now it’s time to get into the weeds of the “how.”…
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Beyond GPUs: Mastering Ultra-Scale LLM Training – Part 1
Introduction Training today’s largest language models demands massive computational resources, often thousands of GPUs humming in perfect harmony, orchestrated to act as one. Until recently, only a few elite research labs could marshal such “symphonies” of compute power. The open-source movement has started to change that by releasing model weights (like Llama or DeepSeek) and…
Ali Darbehani 