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English(EN) Memory prices are up, robot budgets aren't. The T3000 and T2000 extend NVIDIA's Thor architecture down into cheaper, lower-power modules built for humanoid and

NVIDIA将Thor架构扩展到低成本机器人模块

作者 PulseAugur 编辑部 · [1 个来源] ·

NVIDIA推出了T3000和T2000模块，旨在将其Thor架构引入低功耗、更经济实惠的应用。这些模块专门针对人形和移动机器人，旨在应对内存价格上涨和机器人预算有限的限制。新产品扩展了NVIDIA在边缘人工智能和机器人领域的实力。 AI

影响 这些模块旨在使先进的人工智能功能在机器人应用中更易于获得且更具成本效益。

排序理由 针对机器人推出特定硬件模块的产品发布。

在 Mastodon — fosstodon.org 阅读 →

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NVIDIA将Thor架构扩展到低成本机器人模块

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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    内存价格上涨，机器人预算未变。T3000和T2000将NVIDIA的Thor架构扩展到更便宜、低功耗的模块，专为人形机器人和

    Memory prices are up, robot budgets aren't. The T3000 and T2000 extend NVIDIA's Thor architecture down into cheaper, lower-power modules built for humanoid and mobile robots. https:// iottechnews.com/news/nvidia-t3 000-and-t2000-target-robotics-cost-and-power-limits/ # nvidia # e…

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