# NVIDIA's CPO Technology Enhances AI Performance and Bandwidth Efficiency > NVIDIA's new Co-Packaged Optics technology aims to elevate AI performance by integrating optical engines onto silicon interposers, paving the way for greater efficiency and bandwidth in data centers. **Source**: wccftech.com | **Published**: 2026-10-20 | **Type**: article ## Key Facts - NVIDIA's OOI tech boosts bandwidth density, enhancing AI performance and reducing power costs. - DWDM achieves 256 Gb/s per fiber, indicating a leap in data transfer efficiency for AI systems. - Competitive edge: NVIDIA leads CPO development, positioning itself ahead of rivals like Rubin Ultra. - Multi-billion-dollar investments signal strong financial commitment to R&D, ensuring market leadership. - Customer deployments expected by 2028 suggest significant market shifts towards advanced AI infrastructures. ## Summary NVIDIA has unveiled prototypes of its next-generation Co-Packaged Optics (CPO) and Optical Fiber technologies, which are poised to significantly enhance the performance of future AI systems. This development, showcased during SEMICON West 2026, marks a critical step in the ongoing evolution of optical technologies in computing, particularly as demand for advanced AI capabilities continues to surge. The shift from traditional architectures to more integrated solutions is essential for meeting the increasing requirements for bandwidth and power efficiency in data centers. NVIDIA's research, led by Principal Research Scientist Nikola Nedovic, emphasizes the transition of optical engines from organic substrates to silicon interposers. This change is expected to yield substantial benefits, including higher bandwidth density and reduced power consumption. The new technology, referred to as Optics-on-Interposer (OOI), facilitates the movement of electrical signals within the interposer, utilizing shorter and finer interconnects. This architecture mirrors the design principles that have successfully brought GPUs and High Bandwidth Memory (HBM) closer together, thereby optimizing performance. In addition to OOI, NVIDIA is advancing its dense wavelength-division multiplexing (DWDM) technology, which is currently in the research phase. This technology allows multiple data streams to be transmitted simultaneously over a single optical fiber, significantly increasing data throughput. NVIDIA's demonstrations indicate that this system can achieve speeds of up to 32 Gb/s across eight wavelengths, culminating in a total bandwidth of 256 Gb/s per fiber path. Such advancements are critical as they will enable the scalability needed for future AI applications. NVIDIA's leadership in CPO technology is further underscored by its ongoing development of a comprehensive range of chips tailored for AI platforms, including the BlueField-5 and NVLink 8 CPO. The company is also preparing for the release of its Rosa Feynman solutions, anticipated in 2028, which are expected to surpass the capabilities of the Rubin Ultra in the CPO domain. This strategic positioning indicates NVIDIA's commitment to maintaining its competitive edge in the rapidly evolving AI landscape. Market dynamics are also shifting in favor of CPO technologies, as evidenced by recent earnings reports from suppliers like Lumentum and Coherent. These reports dispel previous concerns regarding delays in ultra-high-power CPO laser demand, revealing a robust growth trajectory with scale-out revenues expected to commence in the second half of 2026 and scale-up volumes following in 2027. Customer deployments are projected for 2028, aligning with NVIDIA's timelines and investments. The implications of these developments are profound. As NVIDIA accelerates its investments in capacity and research and development, the broader market for AI and optical technologies is likely to experience significant transformation. The integration of CPO technologies will not only enhance the performance of AI systems but also drive the next generation of AI factories, setting a new standard for efficiency and capability. Competitors will need to adapt quickly, as the advancements in optical integration signal a pivotal shift in how data centers will operate in the near future. This evolution will redefine the competitive landscape, compelling firms to innovate or risk obsolescence in a market increasingly driven by the demands of AI. ## Entities - **Companies**: NVIDIA, Lumentum, Coherent - **Products**: BlueField-5, NVLink 8 CPO, Spectrum 7 204T, CX10, Rosa Feynman - **Technologies**: CPO, DWDM, OOI - **People**: Nikola Nedovic - **Organizations**: SEMICON West ## Key Concepts Co-Packaged Optics, Optics-on-Interposer, Dense Wavelength-Division Multiplexing, AI connectivity, Bandwidth density, Power consumption, Chip architecture, Future product development ## Definitions - **CPO**: Co-Packaged Optics refers to the integration of optical components with chips to improve performance and efficiency. - **DWDM**: Dense Wavelength-Division Multiplexing is a technology that increases the amount of data transmitted over optical fibers by using multiple wavelengths. - **OOI**: Optics-on-Interposer is a technology that moves optical engines onto the silicon interposer to enhance bandwidth and reduce power consumption. - **Bandwidth density**: Bandwidth density refers to the amount of data that can be transmitted over a given physical medium. - **Silicon interposer**: A silicon interposer is a substrate that allows for the integration of multiple chips and optical components in close proximity. ## Use Cases - Advanced AI systems connectivity - High-bandwidth optical communication - Integration of optical engines in chip design - Development of next-generation AI platforms - Commercialization of co-packaged optics - Enhancing data transmission in optical fibers ## Frequently Asked Questions **What is the significance of NVIDIA's OOI technology?** NVIDIA's OOI technology aims to enhance bandwidth density and reduce power consumption by integrating optical engines directly onto the silicon interposer. This innovation is expected to improve the performance of future AI systems. **How does DWDM technology benefit optical communication?** DWDM technology allows multiple wavelengths to be transmitted simultaneously over a single optical fiber, significantly increasing data throughput. This capability is crucial for meeting the growing demands of data-intensive applications. **What are the expected timelines for NVIDIA's new products?** NVIDIA's Rosa Feynman solutions are anticipated to be released in 2028, with other products like the Feynman GPUs expected to advance the capabilities of co-packaged optics further. The company is actively developing these technologies to meet future demands. **What challenges does NVIDIA face in commercializing CPO technologies?** NVIDIA is addressing various challenges related to the commercialization of CPO technologies, including scaling production and ensuring reliability. The company is focused on research and development to overcome these hurdles. **What role do companies like Lumentum and Coherent play in this technology?** Lumentum and Coherent are key suppliers in the CPO technology space, providing essential components like high-power lasers. Their collaboration with NVIDIA is crucial for scaling production and meeting the increasing demand for advanced optical solutions. ## Links - [Read on Welcome.AI](https://welcome.ai/content/nvidias-cpo-technology-enhances-ai-performance-and-bandwidth-efficiency) - [Original source](https://wccftech.com/nvidia-next-gen-cpo-technology-optics-directly-on-the-interposer/) - [NVIDIA](https://welcome.ai/company/nvidia): Featured company --- Source: Welcome.AI | https://welcome.ai/content/nvidias-cpo-technology-enhances-ai-performance-and-bandwidth-efficiency