pyptx brings PTX kernels to Python workflows with JAX and PyTorch
Published on April 25, 2026, the pyptx repository presents a Python DSL for NVIDIA PTX kernels, with Hopper and Blackwell support and examples of accelerated computing operations.
Source: pyptx oferece uma DSL em Python para kernels NVIDIA PTX (github.com). Text prepared with AI from this source.
What happened and what to do
The pyptx repository presents a Python DSL for writing NVIDIA PTX kernels and integrating them with JAX or PyTorch. Published on April 25, 2026, it includes Hopper and Blackwell support and examples of GEMM, grouped GEMM, RMSNorm, and SwiGLU.
A company running workloads on these platforms can assess custom kernels for relevant operations, compare performance, and validate integration with its frameworks. Practical work could include reproducible tests, performance monitoring, and a pipeline for tracking results across hardware and code versions.
How the consultancy can help
Wendelmaques can assess workloads and the opportunity for custom kernels, define a scope, and implement testing, integration, and monitoring on the company’s infrastructure.
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Send a short description of the workload, hardware, and frameworks involved to receive a scoped proposal.
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