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Arm通过灵活授权向初创公司提供边缘AI平台
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Arm公司宣布通过其灵活授权计划向初创公司提供其最强大的边缘AI平台Armv9。该模式允许芯片设计公司在最终设计中使用相关技术时才支付许可费用,从而降低了前期成本,加速创新。Armv9平台结合了高效的Arm Cortex-A320处理器和Arm Ethos-U85 NPU,能够在设备本地运行超过10亿参数的AI模型,无需云连接,将赋能下一代智能摄像头、智能家居设备和交互机器人等边缘AI应用,提升隐私和安全性。Arm Cortex-A320将于2025年11月通过该计划提供,Ethos-U85 AI处理器将于2026年初跟进。

🚀 Arm通过“灵活授权”计划,为初创公司提供先进的Armv9边缘AI平台,旨在降低创新门槛,允许初创公司在最终产品中使用其技术时才支付许可费用。

🧠 Armv9平台结合了超高效的Arm Cortex-A320处理器和Arm Ethos-U85 NPU,使得设备能够在本地运行包含超过10亿参数的复杂AI模型,无需依赖云连接,提升了响应速度和数据安全性。

🔒 本地AI处理能够显著提升隐私和安全性,因为数据无需发送到服务器进行分析,设备可以直接理解和响应用户,同时Armv9平台还集成了诸如指针身份验证代码(PAC)和内存标记扩展(MTE)等安全特性。

💡 这项技术将驱动下一代边缘AI应用的发展,包括能够理解场景的智能摄像头、学习用户习惯的智能家居设备以及可以通过视觉、语音和手势进行交互的机器人。

🗓️ Arm Cortex-A320处理器预计将于2025年11月通过该计划提供给开发者,而Ethos-U85 AI处理器则将在2026年初加入,为开发者提供了充足的时间来规划和开发新的边缘AI产品。

Arm has announced that it’s providing its most powerful edge AI platform, Armv9, to startups via its Flexible Access programme.

The “Flexible Access” model is essentially a ‘try before you buy’ for chip designers. It gives companies upfront, low-cost, or no-cost (for qualifying startups) access to a wide range of Arm technology, tools, and resources. They can experiment and iterate designs freely while only paying license fees for the technology they use in final designs.

This approach has already been a “catalyst for innovation,” according to Arm. The model helped to create around 400 successful chip designs (or “tape-outs”) over the last five years. You’ve likely heard of some of the companies already using it, like Raspberry Pi, Hailo, and SiMa.ai.

The Armv9 edge AI platform pairs the super-efficient Arm Cortex-A320 processor with the Arm Ethos-U85 NPU, which is the bit that handles the heavy AI lifting. This duo is capable of running AI models with over one billion parameters right on the device itself, no cloud connection needed.

This is the tech that will power the next-gen edge AI applications such as smart cameras that don’t just record but understand what they’re seeing, smart home gadgets that learn your habits, and robots you can interact with using vision, voice, and gesture.

Paul Williamson, who runs the IoT business at Arm, believes the next wave of AI innovation will happen “at the edge – in the devices, interfaces, and systems that bring intelligence closer to where data is created.”

A huge benefit here is privacy and security. By processing everything locally, machines can “perceive and respond like humans, while keeping inference and data processing securely on-device”. Your personal data doesn’t have to be sent off to a server just to figure out what you said. The Armv9 platform also bakes in security features like Pointer Authentication Code (PAC) and Memory Tagging Extension (MTE) to keep that on-device data safe.

Research from VDC predicts that, by 2028, AI will be the “dominant technology used across IoT projects”. Arm’s technology is “already at the center of this transformation,” and this move just solidifies its position.

For all the developers keen to get started with edge AI, the Arm Cortex-A320 will be available through the programme in November 2025, with the Ethos-U85 AI processor following in early 2026.

See also: NVIDIA GPUs to power Oracle’s next-gen enterprise AI services

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