Nvidia's recent acquisitions enhance its AI ... HPC systems to fall under Nvidia's umbrella. Nvidia sees it playing an important role in areas like accelerated computing, GPUs, networking, its ...

The first and most obvious is the 800 pound gorilla that is Nvidia's CUDA ecosystem. Today, a majority of developers still rely on CUDA for HPC and AI workloads. While AMD has spent a lot of ...

The other challenge for Huawei is convincing developers to switch from Nvidia’s Cuda ... AI players are not engaged in the same race as Silicon Valley rivals Meta, Elon Musk’s x.AI and OpenAI ...

It is often mentioned that the competitive "moat" that keeps Nvidia's advantage in the AI space is not so much its GPU hardware, but its CUDA and associated ... Follow him on X @ryanshrout.

This expansion is expected to primarily stem from leading-edge logic technologies in high-performance computing (HPC ... NVIDIA’s proprietary CUDA environment. The introduction of AI-enabled ...

As the AI gold rush takes off ... During its most recent quarter reported this week, the Dallas-based Nvidia Elite partner said revenue grew 51 percent year over year to $63.9 million.

Comment Nvidia is the uncontested champion of AI ... silicon were allowed as Copilot+ PCs to run the aforementioned AI-augmented features. Since then, Qualcomm's qualifying Arm-compatible X chips were ...

Nvidia is constructing ... Nvidia's Ethernet-based Spectrum-X family of switches and superNICs to provide peak FP64 performance of 69 (vector) to 137 (matrix) petaFLOPS for scientific workloads or 8 ...

HPE Senior Director Rupin Mohan this week on LinkedIn confirmed reports that HPE has won a $1 billion deal to supply Elon Musk’s X, formerly Twitter, with AI servers. Neither company has commented on ...

Through new partnerships with industry leaders, Nvidia aims to help advance practical use cases for AI in healthcare and life ...