User + Usage + CapEx Growth = Unprecedented • AI Model Compute Costs High / Rising + Inference Costs Per Token Falling = Performance Converging + Developer Usage Rising • AI Usage + Cost + Loss Growth Page 293 USA – LLM #1 China USA – LLM #2 AI Model Compute Costs High / Rising + Inference Costs Per Token Falling = Performance Converging + Developer Usage Rising 3 Cost of Key Technologies Relative competitive. Breakthroughs in large models, cost-per-token declines, open-source proliferation and chip performance improvements are making new tech advances increasingly more powerful, accessible, and economically

operations, technology, and budgets  Actively involving users throughout development to ensure high operational value Agile practices integrate planning, design, development, and testing into an iterative operations, technology, and budgets  Actively involving users throughout development to ensure high operational value Agile is built around a culture of small, dynamic, empowered teams actively collaborating or small-medium-large as units for assigning story points. Over time, as the teams accumulate performance data, this iterative and incremental4 process improves accuracy in allocating points. Point

. . . . . . . 398 31 Embedding Julia 400 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 31.2 High-Level Embedding on Windows with Visual Studio . . with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 35 Performance Tips 444 35.1 Performance critical code should be inside a function . . . . . . . . . . . . . . . . . 444 untyped global variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . .

. . . . . . . 398 31 Embedding Julia 400 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 31.2 High-Level Embedding on Windows with Visual Studio . . with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 35 Performance Tips 444 35.1 Performance critical code should be inside a function . . . . . . . . . . . . . . . . . 444 untyped global variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . .

. . . . . . . 398 31 Embedding Julia 400 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400 31.2 High-Level Embedding on Windows with Visual Studio . . with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441 35 Performance Tips 444 35.1 Performance critical code should be inside a function . . . . . . . . . . . . . . . . . 444 untyped global variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444 35.3 Measure performance with @time and pay attention to memory allocation . . . . . . 445 35.4 Tools . . . . . . . .

. . . . . . . 402 31 Embedding Julia 404 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 31.2 High-Level Embedding on Windows with Visual Studio . . Comparison with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 35 Performance Tips 454 35.1 Table of contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1182 51.4 Implementation notes and performance . . . . . . . . . . . . . . . . . . . . . . . . 1185 51.5 Design inspiration . . . . . . . .

. . . . . . . 403 31 Embedding Julia 405 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 31.2 High-Level Embedding on Windows with Visual Studio . . Comparison with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 35 Performance Tips 455 35.1 Table of contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1180 51.4 Implementation notes and performance . . . . . . . . . . . . . . . . . . . . . . . . 1183 51.5 Design inspiration . . . . . . . .

. . . . . . . 402 31 Embedding Julia 404 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 31.2 High-Level Embedding on Windows with Visual Studio . . Comparison with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 35 Performance Tips 454 35.1 Table of contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 51.4 Implementation notes and performance . . . . . . . . . . . . . . . . . . . . . . . . 1182 51.5 Design inspiration . . . . . . . .

. . . . . . . 402 31 Embedding Julia 404 31.1 High-Level Embedding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404 31.2 High-Level Embedding on Windows with Visual Studio . . Comparison with backtrace . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 35 Performance Tips 454 35.1 Table of contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 51.4 Implementation notes and performance . . . . . . . . . . . . . . . . . . . . . . . . 1182 51.5 Design inspiration . . . . . . . .