AI Datacenter Context and Four Categories of Resource Pressure

4.2.1From Single-Chip AI Compute to Industrial-Scale Datacenters#

4.2.2Model Parameters, Context, Concurrency, and Workload Variation#

4.2.3Compute Throughput, Memory Capacity, and Memory Bandwidth#

4.2.4Interconnect Bandwidth, Latency, and Synchronization Overhead#

4.2.5Power, Cooling, and Practically Operable Compute Capacity#

4.2.6Specialized Matrix Arithmetic, Local Reuse, and Multi-Device Aggregation#

4.2.7Cross-Generation Comparison: Uneven Evolution of Model Scale and Hardware Resources#