**OpenAI 加强硬件布局,招募软硬件协同设计工程师推动AI创新**

据 IT之家报道,知名人工智能研究机构OpenAI正积极拓展其硬件领域的影响力,计划深度参与外部供应商的设计流程,以定制符合自身需求的AI硬件。此举表明OpenAI正在寻求更高效、更优化的硬件平台,以支持其日益复杂的AI研究和开发工作。

根据英国Data Centre Dynamics的消息,OpenAI正在招聘软硬件协同设计工程师,该职位的设立旨在与外部供应商紧密合作,共同设计能够满足OpenAI特定需求的AI硬件解决方案。这一角色不仅需要与OpenAI内部的机器学习工程师、内核工程师以及编译器开发人员紧密协作,理解他们在机器学习技术、算法、数值近似、编程表达性和编译器优化等方面的前沿需求,同时还需要与多家外部供应商协调,确保AI硬件在性能和可编程性上的卓越表现。

报道指出,新职位的核心任务之一是与第三方合作开发最佳内核,并在OpenAI的编译器中集成相关支持,以便在不同硬件配置上对关键内核进行性能估算和优化。这一策略旨在打造一个灵活、高效的硬件生态系统,以促进OpenAI在人工智能领域的持续创新和突破。

OpenAI的这一战略调整,展示了其在AI技术演进中对硬件基础设施的重视,也预示着未来AI领域软硬件一体化发展的新趋势。通过与外部供应商的深度合作,OpenAI有望进一步提升其AI模型的计算能力和应用范围,推动人工智能技术的边界不断拓展。

英语如下:

**News Title:** “OpenAI Enters Hardware Design Realm, Collaborating with External Suppliers for Custom AI Chips”

**Keywords:** OpenAI, AI hardware, supplier collaboration

**News Content:**

**OpenAI Expands Hardware Footprint, Hiring Engineers for Co-Design with AI Innovation**

According to IT Home, renowned AI research organization OpenAI is actively broadening its influence in the hardware sector, planning to deeply engage in the design process with external suppliers to create customized AI hardware tailored to its needs. This move signals OpenAI’s pursuit of more efficient and optimized hardware platforms to support its increasingly complex AI research and development.

As reported by UK’s Data Centre Dynamics, OpenAI is recruiting hardware-software co-design engineers. The role aims to collaborate closely with external suppliers to develop AI hardware solutions specific to OpenAI’s requirements. This position requires working closely with OpenAI’s machine learning engineers, kernel engineers, and compiler developers to understand their cutting-edge needs in machine learning technology, algorithms, numerical approximations, programming expressiveness, and compiler optimizations. It also involves coordinating with multiple external suppliers to ensure top-notch performance and programmability of the AI hardware.

One key task of this new role is to collaborate with third parties in developing optimal kernels and integrating support into OpenAI’s compiler. This enables performance estimation and optimization of critical kernels across different hardware configurations, fostering a flexible and efficient hardware ecosystem to drive OpenAI’s continuous innovation and breakthroughs in AI.

OpenAI’s strategic shift underscores the importance it places on hardware infrastructure in the evolution of AI technology and foreshadows a new trend of hardware-software integration in the AI landscape. By deepening its collaboration with external suppliers, OpenAI is poised to enhance the computational capabilities and expand the application scope of its AI models, pushing the boundaries of artificial intelligence further.

【来源】https://www.ithome.com/0/754/534.htm

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