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3D芯片堆叠,新方法
半导体行业观察· 2025-07-01 01:03
Core Viewpoint - The next significant leap in semiconductor packaging will require a series of new technologies, processes, and materials that will collectively achieve an order-of-magnitude performance improvement, which is crucial for the AI era [1]. Group 1: Advances in Cooling Technologies - Liquid cooling technology at the chip level is emerging as forced air cooling reaches its limits, with up to 40% of power used for current delivery and heat dissipation [4]. - TSMC's silicon integrated micro-cooler (IMEC-Si) is being tested for reliability, designed to handle over 3,000 watts of uniform power dissipation under specific conditions [6]. - The demand for direct liquid cooling is increasing, with innovative concepts like using chips as coolants being proposed [7]. Group 2: Hybrid Bonding and Interconnects - Hybrid bonding with fine-pitch multilayer redistribution layers (RDL) is gaining attention as a cost-effective solution for high-speed interconnects [14]. - Intel's hybrid bonding can achieve spacing as small as 1µm, which is critical for advanced applications [5][17]. - The transition from traditional dielectric materials to polymer/copper hybrid bonding is being explored to enhance performance [16]. Group 3: Backside Power Delivery - Backside power delivery significantly reduces voltage drop related to transistor power supply, but it also exacerbates heat issues [19]. - IBM has developed an anisotropic model for precise heat transfer calculations in backend stacks, emphasizing the importance of thermal considerations in design [21]. - The implementation of backside power delivery is expected to lead to a 10% to 30% reduction in thermal losses [23]. Group 4: Co-Packaged Optical Devices - The demand for faster data networks is driving the integration of optical engines with GPUs and HBM in a single package, significantly increasing data transmission speeds [26]. - Co-packaged optical devices (CPO) are expected to achieve a 32-fold increase in bandwidth by bringing optical engines closer to processors [26]. - However, challenges remain regarding thermal management and warpage sensitivity in CPO implementations [28].
光芯片之争,愈演愈烈
半导体行业观察· 2025-06-01 00:46
Core Viewpoint - AMD has announced the acquisition of Enosemi, a photonic chip startup, to enhance its capabilities in co-packaged optics technology, aiming to compete more effectively with Nvidia in the AI sector [2][3]. Group 1: AMD's Strategic Move - AMD's acquisition of Enosemi is part of its strategy to integrate photonic technology into its next-generation rack systems, which is expected to improve bandwidth and reduce latency compared to traditional copper interconnects [2][3]. - The integration of photonic chips is seen as essential for achieving the high bandwidth required for modern GPU interconnects, which typically rely on copper and have limited range [3][4]. Group 2: Competitive Landscape - Nvidia has been utilizing copper interconnects in its rack systems, citing a significant increase in power budget (up to 20 kW) when switching to fiber optics [5]. - Nvidia's upcoming Spectrum Ethernet and Quantum InfiniBand switches will adopt integrated photonics, aiming to reduce power consumption by eliminating the need for pluggable optical modules, which can consume between 20W to 40W each [6][7]. - Broadcom has been developing CPO switches for years, with its first-generation switches already adopted by Tencent, and is also exploring the integration of GPUs with optical chips capable of achieving 1.6TB/s bidirectional bandwidth [6][7]. Group 3: Industry Trends and Challenges - Intel is also exploring the application of CPO in rack-level systems, emphasizing the importance of optical devices in future architectures [7]. - Despite the growing interest in CPO technology, concerns remain regarding its reliability, maintainability, and the overall complexity associated with tightly integrated systems [7].
AMD收购硅光芯片公司
半导体行业观察· 2025-05-29 01:15
Core Viewpoint - AMD's acquisition of Enosemi aims to accelerate the development of co-packaged optical devices for AI systems, enhancing its position as a full-stack AI provider [1][2][3]. Group 1: Acquisition Details - AMD announced the acquisition of Enosemi, a startup focused on photonic integrated circuits, to boost its capabilities in optical device development for AI [1]. - The financial terms of the acquisition have not been disclosed, and Enosemi was founded in 2023 with 16 employees and 11 investors [1]. - Enosemi's products include integrated photodetectors and custom silicon chips, indicating a strong product portfolio that complements AMD's existing technologies [1]. Group 2: Technological Implications - Photonic integrated circuits utilize photons for data transmission, offering high speed and low power consumption, which is crucial for applications in healthcare, automotive, and communications [1]. - The demand for faster data transmission is increasing with the complexity of AI models, making co-packaged optical devices essential for next-generation AI systems [2][4]. - AMD's strategy includes integrating its leading CPU, GPU, and SoC technologies with enhanced networking, software, and system integration expertise to support advanced AI workloads [2][4]. Group 3: Future Outlook - The acquisition is expected to enhance AMD's capabilities in supporting various photonic and co-packaged optical solutions for AI systems [3][4]. - AMD aims to provide a comprehensive innovation stack that encompasses computing, networking, system architecture, and software, positioning itself uniquely in the AI market [4].