Tile Kernels optimize GPU operations for LLMs
On April 23, 2026, the company published GPU kernels developed with TileLang for LLM operations and said some are used in its internal training and inference.
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What happened and what to do
On April 23, 2026, the company announced GPU kernels for language-model operations, developed with TileLang. According to the post, some of these kernels are used in its internal training and inference processes. The result points to low-level optimizations that engineers can evaluate for LLM workloads.
A company can identify operations that constrain cost or performance, profile GPU workloads, and compare optimized kernels with its current implementation. A response could include reproducible tests, latency and GPU-usage monitoring, and a controlled deployment, without assuming the same optimization suits every model or hardware setup.
How the consultancy can help
Wendelmaques can diagnose GPU workload performance and costs, define a kernel evaluation scope, and implement testing, monitoring, and operation on the client’s infrastructure.
Next step
Send a short description of your workload and goals; Wendelmaques will assess the case and prepare a scoped proposal.
Let's assess your project
I reply with scope and a proposal.