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Video Highlights: GTC November 2021 Keynote Highlights with NVIDIA CEO Jensen Huang

In this video presentation, NVIDIA CEO Jensen Huang covers the highlights of his GTC21​ November keynote that presents the latest breakthroughs in AI​, data science, high performance computing, graphics, edge computing, networking, and autonomous machines.

Building the GPU-accelerated Datacenter

[Sponsored Post] To learn about GPU-accelerated datacenters, join the upcoming live webinar from Thinkmate and PNY. You’ll hear about the future of the datacenter, why the GPU is crucial, the technology behind GPU acceleration, and what sort of options exist for different industries or types of organizations.

NVIDIA Advances Instant AI with North American Availability of Base Command Platform

NVIDIA today announced the North American availability of NVIDIA Base Command™ Platform, a hosted AI development hub that provides enterprises with instant access to powerful computing infrastructure wherever their data resides.

TensorRT 8 Provides Leading Enterprises Fast AI Inference Performance

NVIDIA today launched TensorRT™ 8, the eighth generation of the company’s AI software, which slashes inference time in half for language queries — enabling developers to build the world’s best-performing search engines, ad recommendations and chatbots and offer them from the cloud to the edge.

How Accelerated Computing Is Transforming Data Science

In this contributed article, Scott McClellan, head of Data Science at NVIDIA, discusses how big companies, and startups increasingly use software to speed decision-making in creating new products and services. Businesses can use AI to learn from massive amounts of data captured from a broad range of sensors and sources, but none of this knowledge can be gained without processing these volumes of data.

Applying GANs to Image Generation Tasks

This contributed article by Maksym Tatariants, PhD, AI Engineer at MobiDev, overviews StyleGAN2 application to image generation task and is based on MobiDev’s logotype synthesis research. When it comes to powerful generative models for image synthesis, the most commonly mentioned are StyleGAN and its updated version StyleGAN2.

Domino Data Lab Debuts New Solutions with NVIDIA to Enhance the Productivity of Data Scientists

Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, announced a series of new integrated solutions and product enhancements with NVIDIA, some of which are available now and others will be made available in the coming months. These new enhancements allow data scientists and data engineers the ability to deploy the industry’s most powerful and innovative solution to enhance productivity and positively impact business outcomes.

Microsoft Azure AI for Health Initiatives

Let’s invent the future together! Join Microsoft Azure and NVIDIA, grow your expertise, and help shape what’s next for technologists, AI innovators, and creators at GTC 2021.There are amazing opportunities for everyone. Registration is free … what are you waiting for?

NVIDIA A100, A40 and NVIDIA RTX A6000 Ampere Architecture-Based Professional GPUs Transform Data Science and Big Data Analytics

Scientists, researchers, and engineers are solving the world’s most important scientific, industrial, and big data challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. NVIDIA Ampere architecture-based products, like the NVIDIA A100 or the NVIDIA RTX A6000, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge and creativity forward.

Comparative Testing of GPU Servers with New NVIDIA RTX30 Video Cards in AI/ML Tasks

In early September 2020, NVIDIA debuted its second generation GeForce RTX 30 family of graphics cards, the Ampere RTX architecture. NVIDIA broke with tradition when its new generations of cards were sold more expensive than their predecessors, which means that the cost of training models has remained more or less the same.