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

Discover the 4 key reasons why, despite enjoying NixOS, I'm now searching for alternatives due to its steep learning curve, user experience, software installation challenges, and hardware ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from ...

In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in ...

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 ...

torch.nn.functional.normalize on fp32 inputs outputs vectors with norm>1 (norm=1.0000001192092896) when using cuda + torch.compile. This does not happen when using only cuda, or using cpu+no compile, ...

compile cuda version sherpa-onnx errors #2555 Open shanguanma opened 3 weeks ago ...

ESET researchers reveal how malware operators collaborate with covert North Korean IT workers, posing a threat to both headhunters and job seekers.

Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...