Connectivity & Infrastructure Glossary
Straightforward definitions for common enterprise-network, financial-market, data-center, cloud and AI infrastructure terms.
Read the guide →Practical answers for enterprise networks, financial-market connectivity, AI infrastructure and data centers.
Straightforward definitions for common enterprise-network, financial-market, data-center, cloud and AI infrastructure terms.
Read the guide →Six practical areas determine whether a route fits the strategy: endpoints, venue, capacity, performance, resiliency and support.
Read the guide →How venue access, latency, redundancy, APIs and fragmented liquidity shape connectivity for digital-asset trading.
Read the guide →Why inference location, network paths, market-data freshness and deterministic performance matter for AI-assisted trading strategies.
Read the guide →How Ethernet, private lines, MPLS, SD-WAN, Internet, wavelengths and dark fiber can support networks of any scale.
Read the guide →How enterprises can retain control of data, permissions, workflows, infrastructure, quality standards and human accountability.
Read the guide →How context, tools, memory, workflow and governance can change token use and cost even when the underlying model stays the same.
Read the guide →Power, cooling, compute, networking, storage, provisioning, governance, security, customer demand and operating model should be evaluated together.
Read the guide →How power density, cooling, connectivity and compute planning change for AI workloads.
Read the guide →Why route length, network design, predictability and support all matter to trading infrastructure.
Read the guide →A backup circuit is not truly diverse if it shares conduit, building entrance, central office or core infrastructure.
Read the guide →Compare control, capacity, operating responsibility, cost and scalability across three point-to-point connectivity options.
Read the guide →Why interconnecting data centers is a network-design decision before it becomes a procurement decision.
Read the guide →How distance, regulation, local access, provider coverage and support affect international network design.
Read the guide →When control, data sensitivity, performance or governance can justify private AI infrastructure.
Read the guide →Why provisioning, policy, security, accountability and auditability should be designed with the infrastructure.
Read the guide →How capacity, mitigation, provider diversity and failover should be considered together.
Read the guide →