Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, ...

As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory ...

Wondering if Linux has AI companions that are as accessible, capable, and easy to use as Microsoft Copilot? Try these AI alternatives for Linux.

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...

$ CUDA_VISIBLE_DEVICES=0 python train.py --args 1 2 3 ~~~~~ this is a traditional way to run a function on a GPU. but, it's hassle to check the available GPU and set the CUDA_VISIBLE_DEVICES ...

Without a doubt, one of the hottest new startup accelerators in tech right now is Andreessen Horowitz’s Speedrun program. Launched in 2023, the accelerator has an acceptance rate of less than 1%. In a ...

Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...

Whether you’re looking to transition into a training plan safely and avoid injury, or you’re a beginner looking to get into the groove of running, the run/walk method helps you put your best foot ...