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While the company has been coy about its final Llama 3.

more advanced hardware (including next-generation GPUs) that we may leverage in the future.an 8x8 grid of processing elements (PEs).

doubled the on-chip SRAM and increased its bandwidth by 3.It is seven times faster on AI tasks that involve sparse computation.MTIA v2 architectural diagram.

MetaThe chip is built in a 5-nanometer process technology developed by contract chip manufacturing giant Taiwan Semiconductor Manufacturing.measuring 421 square millimeters versus 373 for the v1.

the new chip runs software that optimizes programs using Metas PyTorch open-source developer framework.

and the company says its new part brings substantial performance improvements.including OpenAIs GPT-4.

deteriorates as time passes since the last training cycle; phenomenon known as concept drift.This training challenge takes place on a scale never before attempted.

 A team at Nanyang Technological University in Singapore this month used on-device learning to counter cyber threats by having each individual device train its own local version of an AI-based intrusion-detection system or IDS.the cloud coordinates a bunch of client devices that fine-tune the LLM with local data.