Graphics Processing Units (GPUs) are now pivotal in high-performance computing, offering substantial computational throughput through inherently parallel architectures. Modern research in GPU ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

One of the key trends for Nvidia right now is the growth of CUDA (Compute Unified Device Architecture), Nvidia's programming language for general-purpose GPU computing. In a keynote speech, Huang ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

IBM's latest offering of serverless cloud may be perfect for some enterprises wanting to offload GPU or HPC workloads to the ...

Julia is a high-level programming language for mathematical computing that is as easy to use as Python, but as fast as C. The language has been created with performance in mind, and combines careful ...

With this launch, the Duality Platform now supports GPU-backed LLM inference and encrypted Retrieval-Augmented Generation (RAG) within trusted execution environments (TEEs) - a significant performance ...

Every computing device relies on a processor, much like the human heart powers the body. Over the years, computing needs have evolved, leading to specialised processors like Central Processing Units ...