Neha Tadimeti – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-06-12T18:48:29Z http://www.open-lab.net/blog/feed/ Neha Tadimeti <![CDATA[Accelerated Molecular Modeling with NVIDIA cuEquivariance and NVIDIA NIM microservices]]> http://www.open-lab.net/blog/?p=101291 2025-06-12T18:48:29Z 2025-06-11T13:00:00Z The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with...]]>

The emergence of models like AlphaFold2 has skyrocketed the demand for faster inference and training of molecular AI models. The need for speed comes with unique computational challenges, including algorithmic complexity, memory efficiency, and strict accuracy requirements. To address this, NVIDIA collaborated with partners to provide accelerated solutions like faster equivariant operations and…

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Neha Tadimeti <![CDATA[In-Silico Antibody Development with AlphaBind Using NVIDIA BioNeMo and AWS HealthOmics]]> http://www.open-lab.net/blog/?p=92757 2024-12-12T19:38:30Z 2024-12-03T18:00:00Z Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range...]]>

Antibodies have become the most prevalent class of therapeutics, primarily due to their ability to target specific antigens, enabling them to treat a wide range of diseases, from cancer to autoimmune disorders. Their specificity reduces the likelihood of off-target effects, making them safer and often more effective than small-molecule drugs for complex conditions. As a result…

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