Every GPU That Mattered
Scored daily by a customisable AI persona to surface the most relevant engineering leadership news.
Historical GPU analysis critical for AI infrastructure planning.
This interactive data story plots 49 pivotal GPUs across 30 years by release year and transistor count, mapping the shift from gaming graphics to AI acceleration. Each clickable dot exposes specifications, highlighting exponential compute density growth and architectural pivots like tensor cores. The visualization quantifies hardware trends critical for scaling ML workloads in cloud environments.
Incorporate transistor density and AI-specific core counts into your GPU selection criteria when designing scalable ML pipelines to optimize throughput and cost.
As a senior engineer focused on AI/ML orchestration, understanding GPU transistor scaling and architectural shifts informs cost-effective cloud infrastructure decisions and performance tuning for agent-based systems.