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Bandwidth, Latency, Power Efficiency, and Cost Optimal data center connectivity must have competitively sufficient bandwidth to handle the traffic volume within and between data centers and other network resources while ensuring low latency, high availability, and reliability, as well as higher power efficiency and lower cost. Traditional connectivity categories include fiber optic networks, software-defined (automated) interconnects, and ethernet switch ICs. New ways of connecting chiplets, chips, and server racks for extreme scaling and improving transmission speeds are also about connectivity, including new platforms for semiconductor integration and new architectures of networking, orchestration or data processing.?

Highlights: The data center colocation sector has seen remarkable investments in recent years including in green data centers, and a new breed of companies offering GPU cloud computing is emerging breathtakingly fast to grab funding. Data center availability is at a multi-year low. The price charged by colocation providers rose by an average of 35 percent between 2020 and 2023. Next-generation AI data centers have new requirements for locations, infrastructure designs and operations. Space, power, cooling and connectivity are all major constraints for growing data centers. Accelerated interest in modular, containerized data centers is widespread. A centralized digital infrastructure for AI will give way to decentralized AI infrastructure everywhere. Hence, the network is the computer. #DataCenter #AIDataCenter #ModularDataCenter #DecentralizedAI #HPC #GPUCloud #CloudCompuitng

This post is a quick run-through of major trends on this landscape. We are tracking over 80 companies in this space related to next-gen data centers aligned with energy sustainability and efficiency.

Quick Overview of Data Center Cooling Tech and some companies in the total 80 companies we're tracking in this segment of AI infrastructure thesis.

Global League (G-L.Ventures) is committed to a data-driven top-down research approach to analyze market trends, landscape and dynamics for investors and startups. Our thesis currently prioritizes the intersection of AI infrastructure, energy transition and national security.

Global League (G-L.Ventures) is a network for collaboration between investors to help the most impactful deep-tech startups and funds. It's time to build a focus group - Global League Club - for deep tech angels, VCs, FOs, and industry experts.

Highlighted by the World Economic Forum, here is something to know. The reliability of wave energy is a big attraction. While wind and solar energy are unpredictable, waves are reliably frequent and?harbor more energy than other renewables. Waves have the highest energy density of renewable energy sources, compared to others like wind, solar, biomass and geothermal. Lots of?niche applications for wave energy?are helping to pave the way for larger utility-scale projects. These include using wave energy to power oil and gas platforms, marine farming, remote islands, naval bases, oceanography services and luxury resorts. However, the high cost incurred in installing a wave energy converter is the major setback for the technology and its large-scale application. Dolphin Labs aims to solve this - Our oceanic natural resources and critical infrastructure are exposed and unprotected from harmful actors. We have the technology, but we don't have the persistent power to consistently track and mitigate these threats.

Wave Energy, AI Data Center, Long Duration Energy Storage

AI-Enabled Quality Carbon Project Development #Carbon #Climate #Dealsharing

In this GenAI wave, two most significant issues emerge - cybersecurity concerns and exceptional power consumption and its impact on electricity grids. Water consumption is also a big issue related to energy efficiency. This is a quick review of what are on the landscape of the next AI infrastructures.