Personal computing and Apple in the 80s. The modern internet and Netscape in the 90s. Open source and Red Hat in the 2000s. Cloud and Amazon Web Services in the 2010s. Certain companies tend to define the computing paradigm of a decade. And so it is with AI and Nvidia in the 2020s. With its advanced GPU hardware, NVIDIA has enabled stunning advances in machine learning and AI models. That, in turn, has enabled services such as GitHub CoPilot and ChatGPT.
However, AI/ML is not just a hardware and data story. Software continues to be the glue that enables the use of large data sets with high-performance hardware. Like Intel before them, NVIDIA is as much a software solution vendor as a hardware company, with applications like CUDA and others being how developers interact with NVIDIA’s GPUs. Building on the trends of previous decades, much of this software is built from open source and designed to run on the cloud.
Unfortunately, the less welcome trend over the past decade has been increased software insecurity and novel attack vectors targeted at open source and the supply chain in general. For the past few years, we’ve been proud to partner with NVIDIA to ensure that the software they produce is secure and also secure for end users to run on their NVIDIA GPU Cloud (NGC). This has not only been a question of high-quality security scanning but ensuring that scanning can happen at scale and in a cost-effective manner.
We’re inviting the Anchore community to join us for a webinar with NVIDIA where we cover the use-case, architecture, and policies used by one of the most cutting-edge companies in technology. Those interested can learn more and save your seat here.
