# Optics Articles associés

Le Centre d'actualités HTX fournit les derniers articles et analyses approfondies sur "Optics", couvrant les tendances du marché, les mises à jour des projets, les développements technologiques et les politiques réglementaires dans l'industrie crypto.

Bernstein's 97-Page Report Decoded: The Battle for AI Data Center Connectivity, Who Will Be the True Winner by 2026?

Bernstein's 97-page report analyzes the AI data center connectivity landscape. It argues that the bottleneck is shifting from raw compute (GPU) to the systems connecting GPUs, crucial for cluster efficiency. Copper and optical interconnects are not in a simple replacement cycle but will coexist long-term, with copper dominating short-distance "scale-up" connections and optics favored for longer "scale-out" scenarios. While Co-Packaged Optics (CPO) is the long-term direction for power and cost savings, its widespread adoption faces manufacturing and reliability hurdles, with mass deployment unlikely before 2028. Transitional technologies like Linear Pluggable Optics (LPO) and Near-Packaged Optics (NPO) are seen as near-term leaders. A key insight is that CPO will fundamentally reshape the value chain, shifting profits from traditional optical module suppliers towards chip designers (e.g., NVIDIA, Broadcom), advanced packaging (e.g., TSMC), and system integrators. For 2026, the report highlights more immediate and certain investment opportunities in the essential "infrastructure" enabling this connectivity shift. This includes upgrades for PCBs, ABF substrates, and CCLa driven by new AI server/switch platforms, alongside demand for 1.6T optical modules, LPO/NPO, and the testing/validation equipment required for future CPO scale-up.

marsbitIl y a 7 h

Bernstein's 97-Page Report Decoded: The Battle for AI Data Center Connectivity, Who Will Be the True Winner by 2026?

marsbitIl y a 7 h

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

NVIDIA and Corning announced a multi-year strategic partnership on May 6, 2026, with NVIDIA committing up to $3.2 billion to support Corning's U.S. expansion. This investment will triple Corning's manufacturing plants and significantly boost its optical fiber and communications production capacity. The core driver behind this massive investment is the fundamental shift from copper to optical interconnect technology within AI data centers. As GPU clusters scale, copper wires face critical limitations: severe signal attenuation over distance, high energy consumption for signal integrity, and excessive heat generation. Optical fiber, transmitting light instead of electrical signals, solves these issues with minimal loss, near-light speed, and lower power needs. The article outlines a three-stage evolution of data center interconnect: 1. **Traditional Copper Interconnects:** The mainstream solution of the 2010s, now being phased out due to scaling bottlenecks. 2. **Pluggable Optical Modules:** The current mainstream, where modules convert electrical signals to light externally. This process still introduces energy loss and latency. 3. **CPO (Co-Packaged Optics):** The next-generation technology where the optical engine is integrated directly with the GPU chip package. This drastically reduces the electrical signal travel distance to mere millimeters, slashing power consumption and latency while boosting data density. NVIDIA CEO Jensen Huang has identified CPO as an essential core technology for AI infrastructure. NVIDIA's investment signifies a strategic shift from being a buyer to actively controlling its supply chain for critical components. With demand for specialized optical fiber far outstripping supply—evidenced by soaring prices—securing long-term manufacturing capacity has become a competitive necessity. While Corning's expansion may pressure some suppliers, a projected global fiber supply gap of 5-15% over the next few years creates a significant opportunity window, particularly for Chinese manufacturers competitive in optical preforms, chips, and modules. Ultimately, NVIDIA's move is not about chasing a trend but an engineering imperative. The transition to light-based interconnects like CPO is driven by the physical limits of copper, marking a definitive step in the ongoing AI computing revolution.

marsbit05/11 10:07

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

marsbit05/11 10:07

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