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Moore's Law
Prediction that transistors per chip double roughly every 2 years, making computing cheaper and faster.
Outcome of Moore’s Law
Exponential growth in chip performance for decades.
Moore’s Law slowing
Physical limits mean clock speeds aren’t increasing; single-thread performance has plateaued.
Parallel performance
Gains now come mostly from multi-core and parallel computing.
AI/ML growth rate
AI performance doubles roughly every 6 months, far faster than Moore’s Law.
AI training cost drop
AI model training went from $1,000 to $7.43 (2017–2020).
Waves of computing
Mainframes → Minicomputers → PCs → Internet → Smartphones → Pervasive computing (IoT).
Pervasive computing
Future devices powered by cloud “remote brains” like smart speakers and autonomous cars.
Cloud computing role
Offloads heavy compute to the cloud, giving devices more power.
Cloud downside
Latency delays from sending data to cloud and back.
Quantum computing
Highly experimental; hyped but not replacing classical computing soon.
Total Cost of Ownership (TCO)
Full hardware cost including maintenance, energy, staffing, upgrades, training, and disposal.
Hardware trend: go small
Mobile devices, wearables, and BYOD; increases flexibility but adds security risk.
Hardware trend: go big
Data centers and mainframes for massive compute workloads.
Solar-powered data center
Example of “go green” hardware for sustainability.
High-performance computing (HPC)
Uses supercomputers or many processors working together for large problems.
Grid computing
Links many distributed machines to act like one big supercomputer.
Cluster computing
Group of linked servers functioning as a unified system.
SaaS
Software accessed through a browser; provider handles everything.
PaaS
Cloud tools and platforms developers use to build apps.
IaaS
Renting cloud servers, storage, and networking instead of owning hardware.
Cloud tradeoff
Less control and customization but lower cost and fewer management responsibilities.