Akhil Docca

Akhil Docca is a senior product marketing manager for NGC at NVIDIA, focusing in HPC and DL containers. Akhil has a Master’s in Business Administration from UCLA Anderson School of Business and a Bachelor’s degree in Mechanical Engineering from San Jose State University.

Posts by Akhil Docca

News 1

3 Methods for Speeding up AI Model Development with TAO Toolkit

How do you shorten your AI application's TTM? Here are 3 methods to eliminate framework complexity and cut your training time in half using TAO Toolkit. 3 MIN READ
News 2

Creating Custom, Production-Ready AI Models Faster with NVIDIA TAO

Learn about the latest updates to NVIDIA TAO, an AI-model-adaptation framework, and NVIDIA TAO toolkit, a CLI and Jupyter notebook-based version of TAO. 2 MIN READ
Technical Walkthrough 1

Developing and Deploying Your Custom Action Recognition Application Without Any AI Expertise Using NVIDIA TAO and NVIDIA DeepStream

Build an action recognition app with pretrained models, the TAO Toolkit, and DeepStream without large training data sets or deep AI expertise. 16 MIN READ
Technical Walkthrough 1

Accelerated Molecular Simulation Using Deep Potential Workflow with NGC

AI neural network deep potential to combine classical MD simulation with DFT calculation accuracy. 15 MIN READ
News 0

New on NGC: NVIDIA Maxine, NVIDIA TLT 3.0, Clara Train SDK 4.0, PyTorch Lightning and Vyasa Layar

The NVIDIA NGC catalog is a hub of highly performant software containers, pre-trained models, industry specific SDKs and Helm charts you can simplify and accelerate your end-to-end workflows. 3 MIN READ
News 0

Fast Track AI Model Adaptation with TAO

NVIDIA Train, Adapt, and Optimize (TAO) is an AI model adaptation platform that simplifies and accelerates the creation of enterprise AI applications. 2 MIN READ