This article discusses the importance of choosing the right software stack for AI and HPC tasks, with a focus on the three major players:…
Browsing: CUDA
Apple has released their AI strategy, including Private Cloud Compute and On-Device and Server Foundations Models. They are not dependent on NVIDIA hardware or…
Red Hat expands efforts to enable organizations to build and deploy AI workloads on OpenShift platform. New features include support for Kubernetes custom resource…
Chipmaker AMD has announced plans to acquire open source machine learning and AI software provider Nod.ai in order to expand its AI capabilities and…
Chipmaker AMD has announced plans to acquire open source machine learning and AI software provider Nod.ai in order to expand its AI capabilities and…
NVIDIA has been working on accelerated computing since 2006, when they first introduced CUDA. CUDA was initially created to address how to program a…
This article provides an overview of the machine learning libraries landscape and discusses the features of the PyTorch and Lightning libraries. PyTorch is a…
Nvidia, a tech company headquartered in Santa Clara, California, has become the first chipmaker to have a market worth of more than USD1 trillion,…
MATLAB and Simulink can be used to create optimised code for full AI applications, including pre- and post-processing algorithms, for use on CPUs, GPUs,…
NVIDIA founder and CEO Jensen Huang kicked off the COMPUTEX conference in Taipei, announcing platforms that companies can use to ride a historic wave…