Uttara Kumar

Uttara Kumar is a senior product marketing manager at NVIDIA, focused on GPU-accelerated AI applications in the cloud. She cares deeply about democratizing access to technology for everyone and enabling developers to tap into the power of NVIDIA Data Center platforms to accelerate the pace of innovation. Prior to NVIDIA, she led software product marketing at both semiconductor and scientific computing software companies. She holds a Master’s degree in Electrical Engineering from the University of Michigan, Ann Arbor.
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Posts by Uttara Kumar

Figure illustrating a screenshot of an NVIDIA Riva sample virtual assistant application running on a GPU-powered AWS EC2 instance through a web browser.
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Building a Speech-Enabled AI Virtual Assistant with NVIDIA Riva on Amazon EC2

Speech AI can assist human agents in contact centers, power virtual assistants and digital avatars, generate live captioning in video conferencing, and much... 12 MIN READ
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Deploy AI Workloads at Scale with Bottlerocket and NVIDIA-Powered Amazon EC2 Instances

Deploying AI-powered services like voice-based assistants, e-commerce product recommendations, and contact-center automation into production at scale is... 3 MIN READ
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AWS Launches First NVIDIA GPU-Accelerated Graviton-Based Instance with Amazon EC2 G5g

Today at AWS re:Invent 2021, AWS announced the general availability of Amazon EC2 G5g instances—bringing the first NVIDIA GPU-accelerated Arm-based instance... 3 MIN READ
A round conference room with a sphere in the middle.
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AWS Brings NVIDIA A10G Tensor Core GPUs to the Cloud with New EC2 G5 Instances

Today, AWS announced the general availability of the new Amazon EC2 G5 instances, powered by NVIDIA A10G Tensor Core GPUs. These instances are designed for the... 3 MIN READ
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One-click Deployment of NVIDIA Triton Inference Server to Simplify AI Inference on Google Kubernetes Engine (GKE)

The rapid growth in artificial intelligence is driving up the size of data sets, as well as the size and complexity of networks. AI-enabled applications like... 3 MIN READ
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MLOps Made Simple & Cost Effective with Google Kubernetes Engine and NVIDIA A100 Multi-Instance GPUs

Building, deploying, and managing end-to-end ML pipelines in production, particularly for applications like recommender systems is challenging. Operationalizing... 5 MIN READ