VentureBeat December 11, 2024
Google has just unveiled Trillium, its sixth-generation artificial intelligence accelerator chip, claiming performance improvements that could fundamentally alter the economics of AI development while pushing the boundaries of what’s possible in machine learning.
The custom processor, which powered the training of Google’s newly announced Gemini 2.0 AI model, delivers four times the training performance of its predecessor while using significantly less energy. This breakthrough comes at a crucial moment, as tech companies race to build increasingly sophisticated AI systems that require enormous computational resources.
“TPUs powered 100% of Gemini 2.0 training and inference,” Sundar Pichai, Google’s CEO, explained in an announcement post highlighting the chip’s central role in the company’s AI strategy. The scale of deployment is unprecedented: Google has...
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