Registry / devops / nvidia-cuda-tileiras

nvidia-cuda-tileiras

library13.3.36pypypi✓ verified 83d ago

The `nvidia-cuda-tileiras` package provides the TileIR Assembler, a low-level component primarily used within the NVIDIA CUDA Toolkit ecosystem. It is not intended for direct Python API calls by end-users but rather serves as a dependency or an underlying tool for NVIDIA's compilers and developer tools. The current version is 13.2.78, reflecting its close ties to specific CUDA Toolkit releases, with updates typically coinciding with major CUDA Toolkit version bumps.

devops ai-ml

pip install nvidia-cuda-tileiras

package ↗homepage ↗

INSTALL

IMPORT

SIG · NVIDIA-CUDA-TILEIR

nvidia-cuda-tileiras

devopspythonv13.3.36

Install

6.9s avg

Import

—

Disk

497MB

Pass rate

5/ 10

Env Coverage5 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v13.3.36 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

build_error

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 6.9s · import 0.000s · 500MB

497MB installed

● package 497MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

nvidia

✓ import nvidia

✗ import nvidia_cuda_tileiras

This quickstart demonstrates that the `nvidia-cuda-tileiras` package can be imported, but emphasizes that it typically does not offer a direct Python API for user-level functionality. Its primary role is as a dependency or an underlying compiler component within the NVIDIA CUDA Toolkit.

import nvidia_cuda_tileiras import sys print(f"Successfully imported nvidia-cuda-tileiras version (if available): {getattr(nvidia_cuda_tileiras, '__version__', 'unknown')}") print("This package provides the low-level TileIR Assembler, typically used by NVIDIA's compilers and tools.") print("It does not usually expose a direct Python API for end-user applications.") # Example of trying to access a non-existent attribute to illustrate the point try: print(nvidia_cuda_tileiras.some_function_for_assembling()) except AttributeError as e: print(f"\nAttempted to call a non-existent function (as expected): {e}") print("\nEnsure your CUDA Toolkit is properly configured for its usage by other tools.")

Debug

Known issues

gotchaThis package is a low-level component of the NVIDIA CUDA Toolkit (TileIR Assembler) and is not designed for direct Python API calls by end-users. Do not expect to find high-level functions or classes to import and use for general programming tasks.

fix

Understand that its purpose is to serve as an internal dependency or a tool for compilers like `nvcc`, not as a general-purpose Python library for direct scripting. Its installation primarily provides underlying executable components or data.

affects: All versions

gotchaCompatibility with your NVIDIA CUDA Toolkit version is crucial. Mismatches between the `nvidia-cuda-tileiras` package version and the installed CUDA Toolkit can lead to unexpected compilation errors or runtime issues when using NVIDIA's developer tools that rely on it.

fix

Ensure that the `nvidia-cuda-tileiras` package is installed as part of the recommended dependency chain for your specific CUDA Toolkit version, typically managed by other NVIDIA Python packages or the CUDA installer. Avoid manual, incompatible versioning if possible.

affects: All versions

Upgrade

Version history

13.3.36latest on PyPI · released May 26, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

6 hits · last 30 days

node

Resources

packagehttps://pypi.org/project/nvidia-cuda-tileiras/ ↗

homepagehttps://developer.nvidia.com/cuda-zone ↗