Industry
Topic
Level
Type
Year
Events & Trainings
NVIDIA Hosted
NVIDIA Participated
S41640
1 - 12 of 3,184  | 
March 2022
, Solutions Architect and Data Scientist, NVIDIA
, HPC/AI Benchmarking Team, Principal PM Manager, Azure Compute, Microsoft
A short demonstration will show how we used Azure’s CycleCloud services to provision a SLURM cluster in the cloud capable of near on-premises performance for workloads ranging from machine learning to deep learning to HPC, as well as highlighting some of the results from MLPerf Training v1.1 and the
August 2021
, NVIDIA
In this session, we present the new rigid body physics extension to Universal Scene Description (USD). We combine a technical deep dive of all the semantic details of the data model with a real time simulation demonstration in Omniverse Create.
March 2024
, Chief Technology Officer, Sterling
, Product Manager, NVIDIA
, Director, Worldwide AI Initiatives, NVIDIA
, Northeastern University
This panel will discuss the use cases and impacts of an AI/ML capable open and programmable next generation wireless network.\nLast GTC Aerial RAN CoLab (Over the Air) was launched as the first fully programmable 5G and 6G advanced wireless full stack. The full stack has enabled developers and
March 2024
, Senior Research Manager, NVIDIA
We'll explain how we tackle the problem of open-world instance segmentation and tracking in 3D, in particular using lidar sensors found in cars. We'll also discuss potential applications.
March 2024
, CEO & Co-Founder, InWorld.AI
, Product Lead, Convai Technologies
, Senior Product Manager, NVIDIA
, Strategic Alliances and Partnerships Manager, NVIDIA
We'll explore the future possibilities for non-player characters (NPCs) to drive immersive, dynamic storytelling in games with the help of generative AI. As new generative AI techniques enable NPCs to have more complexity, autonomy, and personality, they can transform from predefined scripted roles
March 2024
, Senior Director, Employee Productivity & DevOps, NVIDIA
, Vice President, Enterprise AI and Automation, NVIDIA
We'll share our journey, best practices, insights, and lessons learned from our ongoing generative AI project deployments at NVIDIA's own enterprise, including chatbots, virtual assistants, employee productivity copilots, code assistance copilots, IT service and operations management optimizations,
March 2024
, Senior Research Scientist, NVIDIA
, Senior Research Scientist, NVIDIA
Global motion generation for manipulators remains a very slow process, taking anywhere from a few seconds to minutes, predominantly done on CPU. We will present cuRobo, a CUDA-accelerated library containing a suite of robotics algorithms that can generate minimum-jerk, collision-free trajectories
March 2024
, Director, Graphics Developer Tools, NVIDIA
As Ray Tracing continues to propel photorealistic rendering to new heights, the tools that drive this development have become more complex and powerful. In this session, we'll look at the improvements that have been made over the past year to tools like Nsight Graphics, Nsight Aftermath, and Nsight
March 2024
, Sr. Applied Engineer, NVIDIA
, Technical Product Manager, NVIDIA
Despite the growth in cloud streaming demand, there is still a long way to go when it comes to understanding best practices for streaming XR content. NVIDIA CloudXR helps developers address this problem with a number of helpful tools. This session will cover the most common mistakes made when
March 2024
, Deep Learning Institute Program Manager, NVIDIA
, Lecturer and Co-Investigator, Universidad Nacional Jorge Basadre Grohmann
, Lead Software Scientist, The Molecular Sciences Software Institute (MolSSI), Virginia Tech
We’ll also hear how Jorge Basadre Grohmann National University has advanced their computer vision and deep learning research as a result of NVIDIA’s developer training, and how they have modernized their curriculum to train the next generation of AI application developers.
March 2024
, Product Manager, AI on Google Kubernetes Engine, Google
, Cloud Architect, Google
Are you having trouble getting language models (LLMs) to work in your organization? You're not alone. We'll look at how to deploy an open-source language model on GKE. We'll show data scientists and machine learning engineers how to use NeMo and TRT LLM with GKE's notebooks. Plus, GKE has a
March 2024
, Director Product Management for the Maxine AI Developer Platform, NVIDIA
Video conferencing continues to redefine our workplace, and NVIDIA continues to enable developers to redefine video conferencing. The NVIDIA Maxine AI developer platform for video and audio enhancement gives developers the tools to create highly personalized and engaging video conferencing experiences.
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