Find a list of at most 15 synonyms for the given word/phrase, separated in bullet points, ordered by relevance. Only return the synonyms, and add nothing else. Keep the casing of the word/phrase the same. Your response should only return the BULLET POINTS of the synonyms.


Find a list of at most 15 synonyms for the given word/phrase, separated in bullet points, ordered by relevance. Only return the synonyms, and add nothing else. Keep the casing of the word/phrase the same. Your response should only return the BULLET POINTS of the synonyms.


Forbes | The Billion-Dollar AI Gamble: Data Centers As The New High-Stakes Game (2024)
Bils of $ being poured into data centers
“Crypto mining prioritizes cheap power over low latency, which profoundly affects location, design, and redundancy requirements. Meanwhile, AI inference workloads require high computational power and very low latency, demanding a different approach altogether.”
Building requires “racks of physical servers, cutting-edge networking equipment, and massive storage devices—all supported by a highly redundant power and cooling infrastructure designed to ensure near-perfect uptime.”
“Today’s data centers are increasingly reliant on smart control systems, like Data Center Infrastructure Management software, to optimize performance and energy efficiency.”
Types
Enterprise Data Centers: Privately owned and operated by organizations such as banks, healthcare systems, and other entities, these facilities support internal operations. They are often designed for mission-critical applications, offering high levels of security, reliability, and compliance.
Colocation Centers: Multi-tenant facilities where companies rent space, equipment, and bandwidth, outsourcing the management and maintenance of their data infrastructure. Colocation centers provide flexibility and scalability, allowing organizations to expand without the burden of maintaining their own facilities.
Cloud Data Centers: Owned and managed by third-party providers such as AWS, Google Cloud, or Microsoft Azure, these data centers offer scalable, cloud-based services for businesses seeking on-demand access to computing resources without the responsibility of managing physical infrastructure.
Edge Data Centers: Smaller facilities located near end-users in smaller cities to minimize latency. These are particularly important for applications requiring real-time data processing, such as IoT, autonomous vehicles, and real-time analytics.
Crypto Mining Data Centers: These facilities prioritize access to cheap power over redundancy or low latency. Typically located in areas with low electricity costs, abundant land, and minimal connectivity needs, they are designed to maximize efficiency for cryptocurrency mining operations.
Telecom Data Centers: Critical to the telecommunications industry, these data centers support essential network functions and enable communication services.
AI Data Centers: Built specifically to meet the demanding computational requirements of AI workloads, these facilities require high efficiency and substantial power infrastructure. The AI data center segment is even subdividing further into training AI data centers, which handle intensive data processing and machine learning training, and inference AI data centers, which focus on deploying trained models in real-world applications and delivering AI-driven insights in real-time.
Tiers (uptime and reliability)
Tier 1: Minimal redundancy, offering 99.671% uptime (28.8 hours of downtime annually).
Tier 2: Some redundancy, providing 99.741% uptime (22 hours of downtime annually).
Tier 3: Multiple power and cooling paths, allowing maintenance without downtime, offering 99.982% uptime (1.6 hours of downtime annually).
Tier 4: Fully fault-tolerant with redundant components, providing 99.995% uptime (26.3 minutes of downtime annually).


unfortunately