You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

You Don’t Need to Share Data to Train a Language Model Anymore—FlexOlmo Demonstrates How

The development of large-scale language models (LLMs) has historically required centralized access to extensive datasets, many of which are sensitive, copyrighted, or governed by usage restrictions. This constraint severely limits the participation of data-rich organizations operating in regulated or proprietary environments. FlexOlmo—introduced by researchers at the Allen Institute for AI and collaborators—proposes a modular training…

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Nvidia’s Arm chips rapidly gain share in server market as AI booms — Nvidia’s Arm-powered GB200 servers surge as market reaches a record  billion in the first quarter

Nvidia’s Arm chips rapidly gain share in server market as AI booms — Nvidia’s Arm-powered GB200 servers surge as market reaches a record $95 billion in the first quarter

The global server market experienced an unprecedented surge to nearly $100 billion in the first quarter as companies heavily invested in AI-related infrastructure, according to IDC, and ‘accelerated’ servers running Arm-based processors comprise one of the most rapidly growing categories, with Arm-powered server shipments rising 70% this year. It appears that the vast majority of…

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