Connect with the Experts sessions include a wide range of topics and industry use cases, with more topics to be announced closer to the conference.
Online | Free to Attend
“Connect with the Experts” sessions at NVIDIA GTC gave the attendees a unique opportunity to discuss their projects and challenges in a group or one-on-one setting.
Connect with the Experts gives you a deeper understanding of the hottest topics in deep learning, accelerated computing, data science, virtualization, robotics, and more.
Discussion Topics
North America
Europe
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Talk to experts about programming and code optimization, share your experiences, and get guidance for Math Libraries cuBLAS, cuTENSOR, CUTLASS, cuFFT, cuRAND, cuSPARSE & cuSOLVER and the Math API.
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Curious about the future of C++? Interested in learning about its plans for safety critical, concurrent, parallel, and heterogeneous programming? Come join us for a lively discussion of the language’s roadmap by members of the Standard C++ committee.
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Train, adapt, optimize to generate optimized deep learning models for computer vision and conversational AI with domain adaptation or transfer learning.
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Real-time conversational AI is a complex and challenging task. On one hand, to allow real-time, natural interaction with an end-user, the models need to complete the computation in under 300 milliseconds. On the other hand, to enable versatile interaction, a model that learns the language, its syntax, its semantics, and concepts at large needs to be trained on peta-bytes of data and has to be billions of parameters deep. NVIDIA Riva and NeMo Megatron make these conversational AI applications possible.
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Learn about the computing and communications technologies that NVIDIA has for supporting High Performance Data Analytics workflows with GPUs. Let's talk graph analytics, algorithms, communications bandwidth and all things HPDA.
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Our experts are highly experienced with moving AI Inference models from research to production environments and are happy to share these experiences, tools, and techniques with you. We’ll cover topics such as:
- Moving from research to production
- Minimizing device memory usage
- Performance optimization
- Integration with existing code bases
Technologies include :
- NVIDIA TensorRT™
- ONNX and DirectML
- NVIDIA CUDA® and cuDNN
- Triton™ Inference Server
Join us to learn more about the constraints related to deployment of AI inference models on Windows workstations using a local GPU.
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In this connect with the experts session, you'll talk directly with the team that builds NVIDIA's real-time ray tracing tools such as Nsight Graphics. We'll discuss the principles behind real-time ray tracing using modern APIs such as DXR and Vulkan Ray Tracing. Additionally, we'll cover how developer tools can help to accelerate development time, solve real-world problems like performance issues, and help you to identify hard to find GPU crashes.
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Innovation in medical device technology combined with AI is giving healthcare professionals better decision-making tools to deliver care using robotics, medical devices, medical instruments, and other tools that use streaming and sensor data. AI-supported medical devices must have an accelerated pipeline to process, predict, and visualize data in real time. NVIDIA Clara™ Holoscan, a new computing platform for the healthcare industry, powered by NVIDIA AGX Orin™, provides the computational infrastructure needed for scalable, software-defined, end-to-end processing of streaming data from medical devices. Built as an end-to-end platform for seamlessly bridging medical devices with edge servers, it allows developers to create AI microservices that run low-latency streaming applications on devices while passing more complex tasks to data center resources. Learn about how GPUs and AI are powering software-defined instruments across the healthcare ecosystem.
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Meet with experts from the NVIDIA’s Omniverse™ and CloudXR™ teams, and learn about new VR functionality coming to Omniverse Kit. Omniverse VR is the world's first real-time ray-traced VR. Developers and power users can build VR extensions and services into their own ecosystems through Omniverse Kit, or end user designers and creators can soon use VR capabilities in Omniverse Create or View. NVIDIA CloudXR is integrated into Omniverse Kit, allowing users to take advantage of its streaming solution to deliver graphics-intensive applications to mobile, untethered devices.
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Deep learning, machine learning, and data science are evolving at an unprecedented rate. Almost every day, we see new tools and algorithms emerge, making the impossible possible; but at the same time adding layers of complexity to an already-challenging field. We’re hosting an interactive session with NVIDIA experts so you can get your toughest questions answered. Join us to attend one-to-one chats or group sessions to discuss your projects and challenges with our experts. Example topics include state-of-the-art algorithms and tools for computer vision, natural language processing, automatic speech recognition, text-to-speech, recommender systems, reinforcement learning, and more.
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Come talk to experts in GPU programming and code optimization, share your experience, and get guidance on how to achieve maximum performance on NVIDIA platforms.
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Come and chat with our experts about how to deploy various workflows on top of a vGPU infrastructure, questions on Licensing and NLS or how to utilize NVAIE: Virtualization for AI. We will explore topics concerning Omniverse on a RTX workstation, a workgroup server, or large group collaboration on cloud servers.
Note: 1:1 chats for this session will be available in English, German and French.
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Developing solutions for vision, autonomous machines, or robotics? Share your challenges with our experts in embedded edge AI development, the Jetson platform, and SDKs for Isaac™, DeepStream, and TLT.
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Meet the Experts
Join deep-dive discussions on a wide range of topics and industry use cases.
Alan Gray
Principal Developer Technology Engineer
Alan works with the developer community optimising scientific simulation applications to make best use of accelerated computing systems, from workstations to the world’s largest supercomputers.
Mahmoud El Ghomari
Senior Solution Architect
Mahmoud is a specialist in NVIDIA’s virtualisation and data centre technologies working with enterprise customers accelerating their infrastructure deployments.
Ekaterina Sirazitdinova
Data Scientist
Katja works with NVIDIA customers, helping solve their most challenging computer vision and video analytics problems and then deploying the inferencing solutions in the data centre or at the edge.
Abubakrelsedik Karali
Data Scientist
Abu specialises in deep learning and video analytics IoT applications for smart cities built from NVIDIA’s DeepStream, TAO Toolkit, TensorRT™, and Triton Inference Server SDKs.
Teresa Conceição
Data Scientist, Robotics
Teresa is passionate about robotics and helps customers integrate NVIDIA’s AI, computer vision, and simulation solutions to solve complex autonomous machines challenges.
Dai Yang
Senior Solution Architect
Dai helps to translate customer’s needs into NVIDIA’s highly scalable DGX SuperPOD architecture so they see the best performance and throughput of their accelerated applications.
Adam Grzywaczewski
Senior Deep Learning Data Scientist
Adam works on all aspects of large-scale deep learning training, including the system architecture, the software design, and the algorithms.
Zenodia Charpy
Senior Solution Architect
Zenodia uses her extensive experience to help customers and partners adopt best practices in accelerating performance on their machine learning or deep learning models.
Don't miss the chance to connect with AI developers and innovators at GTC, September 19 - 22, 2022.