CUDA for LLMs: kernels, attention and profiling
Published on February 3, 2026, Manning’s book introduces CUDA programming for NVIDIA GPUs, from basic kernels to Flash Attention, and covers profiling with Nsight Compute.
Source: CUDA for LLMs aborda kernels, Flash Attention e profiling (manning.com). Text prepared with AI from this source.
What happened and what to do
Manning’s book, published on February 3, 2026, introduces CUDA programming for NVIDIA GPUs, starting with kernels and progressing to LLM features such as Flash Attention. Its preview also mentions profiling with Nsight Compute, a tool for analyzing GPU performance.
For a company running LLM workloads on GPUs, this topic can lead to a practical assessment: measure kernel performance, identify bottlenecks, and test optimizations before expanding capacity. Wendelmaques can help structure that analysis and, where appropriate, implement improvements on the existing infrastructure.
How the consultancy can help
Wendelmaques can diagnose GPU workload performance, define a profiling and optimization scope, and implement the agreed changes on the client’s infrastructure.
Next step
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