5 reasons why Google's Trillium could transform AI and cloud computing - and 2 obstacles
Briefly

from ZDNET1 month ago
"At AI21, we constantly strive to enhance the performance and efficiency of our Mamba and Jamba language models. As long-time users of TPUs since v4, we're incredibly impressed with the capabilities of Google’s Trillium, notably its cost efficiency and high-performance metrics."
ZDNEThttps://www.zdnet.com/article/5-reasons-why-googles-trillium-could-transform-ai-and-cloud-computing-and-2-obstacles/
"Trillium promises up to 2.5 times better training performance per dollar and three times higher inference throughput than previous TPU generations, showcasing significant advancements for AI workloads."
ZDNEThttps://www.zdnet.com/article/5-reasons-why-googles-trillium-could-transform-ai-and-cloud-computing-and-2-obstacles/
Read at ZDNET
#ai #cloud-computing #tensor-processing-unit #trillium #machine-learning
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