Module 01 - Core

Tensor Cores
& CUTLASS

See the GPU the way NVIDIA engineers see it.

How GPU matrix multiply units work, when they saturate, and how to keep them fed. The foundation of every high-performance inference kernel.

Tensor Cores Architecture

Performance

Maximize GPU
throughput

Architecture

How GPUs
really work

Systems

Build better
AI systems

Debugging

Diagnose real
bottlenecks

Why This Module Exists

See the GPU the way engineers see it.

The Problem

Most developers use GPUs every day—yet few understand the hardware that drives real performance. You deploy systems blind to bottlenecks.

What You'll Learn

How Tensor Cores execute operations. How warps collaborate. How modern GPU stacks expose maximum acceleration. Achieve 2–4x speedups.

The Outcome

Build systems that run at their potential. Make informed tradeoffs between latency and throughput. Debug performance problems instead of guessing.

Built for Technical Leaders

Who Is This For?

AI Engineers

Build production systems that maximize GPU utilization and performance.

CUDA Developers

Write kernels that saturate hardware and unlock 2–4x performance gains.

ML Infrastructure Teams

Design systems that scale inference and training efficiently across clusters.

GPU Researchers

Understand hardware architecture to drive algorithmic innovation.

Performance Engineers

Debug bottlenecks with concrete hardware understanding, not guesswork.

HPC & LLM Platform Teams

Architect platforms that unleash GPU potential at massive scale.

Learning Outcomes

What You'll Be Able To Do.

Understand Tensor Core execution models

Work with warp-level computation and synchronization

Write and reason about PTX-level instructions

Explore MMA operations and fragment layouts

Navigate CUTLASS architecture and abstractions

Optimize data movement and memory usage

Identify and fix GPU performance bottlenecks

Design hardware-aware, high-performance kernels

The best performance comes from understanding the hardware, not fighting it.

This module teaches you to think like the GPU.

NEXT STEPS

Continue Your Learning Journey.

Explore more core modules and advanced training programs to deepen your understanding of AI systems.