AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

“The DeepSeek team cracked cheap long context for LLMs: a ~3.5x cheaper prefill and ~10x cheaper decode at 128k context at ...

Demand for AI chips is booming—and so is the need for software to run them. Chris Lattner’s startup Modular just raised $250 ...

A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.

Is your feature request related to a problem? Please describe. My library uses cuda-python to compile custom cute kernels. I have a user that is reporting that my current get_include_dir_cuda() fails ...

SageAttention compilation fails on Windows with CUDA 13.0 due to NVCC's stricter command-line parsing introduced in CUDA 13.0. The error occurs during ninja build ...

A legendary 1970 Plymouth AAR Cuda takes the stage, representing peak muscle car performance. Man accused of bringing weapons into Charlie Kirk memorial venue was 'known' guest’s advance security: ...

Trans Am didn't present a particular interest for ChryCo in the late seventies, but when Ma' Mopar finally came up with the Challenger, the championship spawned a street version. Since 1970 was also ...

Thomas Tull's USIT fund leads Series C as company targets AI infrastructure fragmentation with hypervisor approach ...