Fueled by data, ML models are the mathematical engines of AI, expressions of algorithms that find patterns and make predictions faster than a human can.
]]>The NVIDIA NGC catalog, a GPU-optimized hub for HPC, ML and AI applications, now has a new look and we’re really excited about it! Over the past few months we’ve been working with our community, design and research teams to bring you an enhanced user experience, engineered to deliver the most relevant content and features, faster than ever before. The new user interface…
]]>AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software building blocks, such as models and containers, that are not only secure and highly performant, but which have the necessary underlying architecture to build their…
]]>AI is going mainstream and is quickly becoming pervasive in every industry—from autonomous vehicles to drug discovery. However, developing and deploying AI applications is a challenging endeavor. The process requires building a scalable infrastructure by combining hardware, software, and intricate workflows, which can be time-consuming as well as error-prone. To accelerate the end-to-end AI…
]]>AI is moving from research to production and enterprises are embracing its power to develop and deploy it across a wide variety of applications, including retail analytics, medical imaging, autonomous driving, and smart manufacturing. However, developing and deploying open source AI software inherently has its own challenges. Data scientists need optimized software, developers need the right…
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