PANews reported on December 3rd, citing CoinDesk, that Amazon has launched its next-generation AI chip, Trainium 3, boasting four times the training speed of its predecessor and targeting Nvidia's market share. This chip will be offered through AWS, facilitating large-scale model training. Meanwhile, several Bitcoin mining companies, such as Core Scientific and IREN, are transforming their data centers into AI infrastructure and have reached multi-billion dollar cooperation agreements with Microsoft, Google, and others. Despite the surge in investment in AI infrastructure, analysts warn that if demand slows, these companies could face a funding gap of up to $800 billion.PANews reported on December 3rd, citing CoinDesk, that Amazon has launched its next-generation AI chip, Trainium 3, boasting four times the training speed of its predecessor and targeting Nvidia's market share. This chip will be offered through AWS, facilitating large-scale model training. Meanwhile, several Bitcoin mining companies, such as Core Scientific and IREN, are transforming their data centers into AI infrastructure and have reached multi-billion dollar cooperation agreements with Microsoft, Google, and others. Despite the surge in investment in AI infrastructure, analysts warn that if demand slows, these companies could face a funding gap of up to $800 billion.

Amazon releases Trainium 3 AI chip; crypto mining companies shift focus to participate in the "GPU gold rush".

2025/12/03 09:34

PANews reported on December 3rd, citing CoinDesk, that Amazon has launched its next-generation AI chip, Trainium 3, boasting four times the training speed of its predecessor and targeting Nvidia's market share. This chip will be offered through AWS, facilitating large-scale model training. Meanwhile, several Bitcoin mining companies, such as Core Scientific and IREN, are transforming their data centers into AI infrastructure and have reached multi-billion dollar cooperation agreements with Microsoft, Google, and others. Despite the surge in investment in AI infrastructure, analysts warn that if demand slows, these companies could face a funding gap of up to $800 billion.

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