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Context parallelism (CP) for distributed inference and training for biomolecular folding models across multiple GPUs using a 2D CP mesh combined with data parallelism, demonstrated with the Boltz ...

China’s Meituan open-sources massive LongCat-2.0 AI model, saying it was trained on domestic chips - SiliconANGLE ...

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...

Meituan claims it trained the 1.6 trillion parameter model on domestic Chinese hardware, avoiding Nvidia GPUs altogether.

Intel and AMD have jointly announced ACE, a new x86 instruction set extension that brings dedicated AI acceleration to CPUs, ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

Abstract: As many-core accelerators keep integrating more processing units, it becomes increasingly more difficult for a parallel application to make effective use of all available resources. An ...