ZLUDA, an open-source project, promises to break NVIDIA's dominance by enabling CUDA applications to run on AMD and Intel GPUs without requiring code rewriting. CUDA's dominance and the vendor lock-in ...

As AI models grow in complexity and hardware evolves to meet the demand, the software layer connecting the two must also adapt. We recently sat down with Stephen Jones, a Distinguished Engineer at ...

Working on GPU support for OpenAI / Triton — a language and compiler for writing highly efficient custom Deep‑Learning primitives. Work with the open‑source community to analyze, develop, test, and ...

Microsoft is on a mission to enhance the capabilities of its AMD GPUs, particularly for inferencing workloads, by developing new toolkits that convert NVIDIA CUDA models into ROCm-supported code. This ...

I tried to compile decord with cuda from source code but encountered a failure. $export CUDA_NVCUVID_LIBRARY=/usr/local/nvidia/ $cmake .. -DCMAKE_BUILD_TYPE=Release ...

At the heart of CUDA-L1 lies a major leap in AI learning strategy: Contrastive Reinforcement Learning (Contrastive-RL). Unlike traditional RL, where an AI simply generates solutions, receives ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Ethos: I do not use artificial intelligence to write what I don’t know. I use it to challenge what I do. I write to reclaim the voice in an age of automated neutrality. My work is not outsourced. It i ...

Compiler Explorer is revolutionizing CUDA development by offering a seamless web-based platform for writing, compiling, and running GPU kernels, fostering collaboration and innovation. Compiler ...

The MarketWatch News Department was not involved in the creation of this content. Integration of the Company's logical-qubit compiler with NVIDIA CUDA-Q unlocks new levels of performance and ...