Search results for: 'chip study'

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 demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

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...

Multi-Access Edge Computing (MEC) solutions are gaining traction globally for their ability to deliver ultra-low latency, high bandwidth, real-time data processing, and data analytics, which are key to supporting latency-sensitive applications. Businesses today demand 5G MEC to improve productivity, innovate new offerings, and accelerate digital tr...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores GPU-as-a-Service, Hyperscale & AI-Focused Digital Infrastructure, and AI-Ready Data Centers to scale AI compute capabilities. Prompt-Based Builders and Docs-as-Code accelerate software development, while Artificial Chip Intelligence and MLOps optimize chip de...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

Global data center investment will continue on a high growth trajectory due to high demand from hyperscale cloud and a high degree of data center activity in emerging economies. The burgeoning AI industry will further accelerate data center investments. A diverse range of industry players, from major hyperscale corporations to prominent colocation ...

The AI landscape is undergoing rapid transformation, driven by disruptive technologies, evolving enterprise needs, and the imperative to innovate at scale. This study identifies the Top 10 Growth Opportunities in AI Technologies and Platforms that will shape global markets in 2025 and beyond. These opportunities reflect the convergence of strategic...