
Security Fundamentals
Turtles, Clams, and Cyber Threat Actors: Shell Usage
The Socket Threat Research Team uncovers how threat actors weaponize shell techniques across npm, PyPI, and Go ecosystems to maintain persistence and exfiltrate data.
CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It consists of multiple components:
For access to NVIDIA CPU & GPU Math Libraries, please refer to nvmath-python.
CUDA Python is currently undergoing an overhaul to improve existing and bring up new components. All of the previously available functionalities from the cuda-python package will continue to be available, please refer to the cuda.bindings documentation for installation guide and further detail.
cuda-python
is being re-structured to become a metapackage that contains a collection of subpackages. Each subpackage is versioned independently, allowing installation of each component as needed.
cuda.core
The cuda.core
package offers idiomatic, pythonic access to CUDA Runtime and other functionalities.
The goals are to
cuda.bindings
The cuda.bindings
package is a standard set of low-level interfaces, providing full coverage of and access to the CUDA host APIs from Python.
The list of available interfaces are:
All cuda-python
subpackages follows CPython End-Of-Life schedule for supported Python version guarantee.
Before dropping support there will be an issue raised as a notice.
FAQs
CUDA Python: Performance meets Productivity
We found that cuda-python demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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Security Fundamentals
The Socket Threat Research Team uncovers how threat actors weaponize shell techniques across npm, PyPI, and Go ecosystems to maintain persistence and exfiltrate data.
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