Microsoft, AI and Google
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Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the ...
As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...
Sameeksha Gupta, an expert in computing systems, proposes a fresh perspective on an overlooked issue in AI infrastructure: GPU reliability in large-scale AI clusters. With a career grounded in ...
Raspberry Pi AI HAT 1 and 2 compared with real FPS numbers and 8 GB RAM on AI HAT 2, so you pick faster hardware for your ...
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KPMG to include AI performance reviews
KPMG will begin evaluating staff use of AI tools as part of its annual performance assessments, reported Bloomberg. The firm’s move reportedly demonstrates the increasing integration of AI ...
It seems like almost every week for the last two years since ChatGPT launched, new large language models (LLMs) from rival labs or from OpenAI itself have been released. Enterprises are hard pressed ...
As AI scales across industries, one truth has become clear: technology alone doesn’t drive transformation. Leadership does.
As AI applications rapidly advance, AI models are being tasked with processing massive amounts of data containing billions – or even trillions – of parameters. Each large workload involves ...
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