Search results for: 'plan data management'

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

30 Apr 2025  |  Global  |  Technology Research

Innovations in Silicon Photonics Impacting Data Centers and the Biomedical Sector

Harnessing Light to Power the Digital Age and Advance Medicine

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Silicon photonics is a rapidly growing field, continuously seeking innovative solutions to overcome the shortcomings of electronic integrated circuits (EICs), especially in data communication. In recent years, emerging technologies in this area have gained significant interest due to their potential to transform the field, creating promising opport...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Processors, Packaging, Transceivers, Wireless Connectivity and Thermal Management.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electronics attribut...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to Transistors, PCIe Switches, Satellite, DNA Data Storage and Memory Architecture.The Microelectronics Technology Opportunity Engine captures global electronics-related innovations and developments on a weekly basis. Developments are centered on electronics attributed...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to optoelectronics powering Hyperscale AI and Data Center Interconnects, Advanced Transceiver Chip For Increased Communication Efficiency, Low-Power System-on-Module (SoM) For Enhanced AI Applications, Next-generation Defect Review System with Faster Analysis of Nanosc...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...