From Numba to Triton: a practical path to GPU programming
Published on December 12, 2025, the publication presents a Jupyter notebook that teaches GPU programming with Numba and progresses to writing kernels with Triton.
Source: Um caminho de Numba a Triton para programação de GPU (x.com). Text prepared with AI from this source.
What happened and what to do
On December 12, 2025, the publication presented a practical Jupyter notebook introducing GPU programming with Numba and progressing to Triton, a Python-like language for writing kernels. The material offers engineers a starting point for learning GPU kernel programming.
A company could use this approach to assess whether processing tasks would benefit from GPU execution and build a learning path using exercises based on its own workloads. Implementation could include performance tests, cost monitoring, and documentation to support kernel operations.
How the consultancy can help
Wendelmaques can assess workloads and team objectives, scope GPU kernel prototypes and tests, and implement the solution, including monitoring and operational documentation.
Next step
Send a short description of your workloads or GPU challenge to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.