Following NVIDIA's June announcement to bring CUDA to the Arm architecture, Marvell has collaborated with NVIDIA to port its CUDA-X AI((TM)) and HPC libraries, ...

March 7, 2024 — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X data processing libraries will be integrated with HP AI workstation solutions to turbocharge the data preparation and processing ...

NVIDIA is making available to the Arm ecosystem its full stack of AI and HPC software — which accelerates more than 600 HPC applications and all AI frameworks — by year’s end. The stack includes all ...

Nvidia’s Quantum play is CUDA-Q, ... Many can adequately handle their HPC and AI needs with traditionally connected and configured servers; they just need a faster accelerator.

The company's contributions to the HPC community following the debut of CUDA in 2007 were influential in the rise of GPUs not just in supercomputing, but the enterprise and cloud at large.

NVIDIA reveals AI and supercomputing innovations at SC 2024, highlighting partnerships and new breakthroughs in HPC and AI-driven research. Skip to content TechRepublic ...

NVIDIA's full stack of AI and HPC software is being made available to the ARM ecosystem. That includes all of its CUDA X AI and HPC libraries, GPU-accelerated AI frameworks, and software ...

Nvidia has announced it will bring full software stack support to ARM CPUs, including its entire HPC product stack. This move will put ARM on an equal playing field with x86 and Power.

The new suite of NVIDIA Parabricks NIM, an optimized inference microservice, and CUDA-X microservices includes optimized AI models and workflows with industry-standard APIs, or application ...

NVIDIA CUDA-X is a collection of over 40 acceleration libraries that enable modern computing applications to benefit from NVIDIA’s GPU-accelerated computing platform. JetPack SDK is built on CUDA-X ...

Using the CUDA-Q platform, however, Google can employ 1,024 Nvidia H100 Tensor Core GPUs at the Nvidia Eos supercomputer to perform one of the world’s largest and fastest dynamical simulation of ...

Nvidia’s software suite support is enabling the acceleration of 600 HPC applications and AI frameworks on ThunderX2 systems. “Our collaboration with Marvell enables us to support servers with the ...