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Inference Engineering at Modal or Baseten

12 Modules · 96 Lessons

Recommended resources

Module 2

C++ and Reproducible Software Workflows

Module 3

Math, Numerical Computing, and Measurement

Module 4

PyTorch Modeling, Compilation, and GPU Execution

Module 5

GPU Architecture and Performance Reasoning

Module 6

CUDA Kernel Programming Fundamentals

Module 7

Profiling and Optimizing CUDA Kernels

Module 8

Triton Kernel Engineering

Module 9

Transformer Inference Computation and Memory

Module 10

LLM Inference Engines and Optimization Techniques

Module 11

Production Benchmarking and Distributed GPU Systems

Module 12

Portfolio Evidence and Performance Interviews