Plucky startup Bolt Graphics still wants to use RISC-V to compete with Nvidia, AMD in AI and beyond — and given CUDA's port on RISC-V, there may be something there

Bolt Graphics is pressing ahead with its plan to challenge Nvidia and AMD by building a graphics processor around a RISC-V ...
XDA Developers on MSN

Docker Model Runner makes running local LLMs easier than setting up a Minecraft server

On Docker Desktop, open Settings, go to AI, and enable Docker Model Runner. If you are on Windows with a supported NVIDIA GPU ...
Computer Weekly

AMD pushes for open ecosystem to challenge Cuda dominance

AMD is hoping to win over artificial intelligence (AI) developers in Asia-Pacific with its open software ecosystem and help the region compete on a global stage without relying on proprietary AI ...
The Motley Fool

Nvidia's Quiet Move Into Quantum Computing Could Reshape the Next Frontier of AI

Nvidia is quietly positioning itself at the center of quantum computing by linking today’s fastest AI GPUs with early quantum processors through its new NVQLink and CUDA-Q systems. This hybrid ...
SiliconANGLE

Red Hat tightens Nvidia ties with BlueField integration and native CUDA support

IBM Corp.’s Red Hat subsidiary today announced a series of updates intended to simplify and secure the deployment of artificial intelligence workloads across commercial, government and hybrid cloud ...
GitHub

[RFC] Introduce dependencies on CUDA Python projects

For many years, CuPy has been the one-stop shop for using NVIDIA CUDA GPUs in Python. It provides many functionalities, way beyond what’s publicly known (“NumPy/SciPy for GPUs”), for example Python ...
blockchain

NVIDIA Expands Python Capabilities with CUDA Kernel Fusion Tools

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...
TechSpot

Open source project is making strides in bringing CUDA to non-Nvidia GPUs

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...
SlashGear

CUDA Cores And Tensor Cores: What Are They, And Do You Need Them For Gaming?

CUDA and Tensor Cores are some of the most prominent specs on an NVIDIA GPU. These cores are the fundamental computational blocks that allow a GPU to perform a bunch of tasks such as video rendering, ...
InfoWorld

Get started with the new Python Installation Manager

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...
The Motley Fool

What Is CUDA Programming?

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 ...