AI hardware / Reading guide
Read the processor, memory, and packaging records together, with each source and assessment attached.
Reading prompt: Establish what the component does before comparing product specifications or claims about performance.
Read the full topic context →NVIDIA's own documentation states the architectural bargain: a GPU devotes more transistors to data processing rather than to data caching and flow control, trading single-thread speed for parallel throughput and hiding memory latency with queued independent work.
NVIDIA defined the GPU at the GeForce 256's launch on 11 October 1999 as a single-chip processor with integrated transform, lighting, triangle setup/clipping and rendering engines processing at least 10 million polygons per second — 17 million transistors on a TSMC 220 nm process, and the first consumer part to move geometry work off the CPU.
Reading prompt: Read the memory interface and packaging description alongside the processor record, rather than treating their specifications as interchangeable.
Read the full topic context →HBM stacks DRAM dies vertically over a logic base die using through-silicon vias, then packages the stack beside a processor for higher bandwidth and lower power than conventional off-package memory.
Reading prompt: Separate a statement about today's supply from a forecast or an announced expansion. Follow each number to its original source.
Read the full topic context →TrendForce reported in June 2026 a CoWoS supply-demand gap of around 20% narrowing to about 10% by year end, with TSMC at 120,000-140,000 wafers a month and OSAT partners adding 50,000-60,000 — figures the report attributes to institutional investors via Economic Daily News, not to TSMC.
TSMC describes packaging as having been 'once considered simple backend processes, almost an inconvenience' and now 'critical to a product's performance, function, and cost', with its 3DFabric family spanning both wafer-level frontend and backend technologies.