The NVIDIA GPU Technology Conference (GTC) advances global awareness of GPU computing, computer graphics, game development, mobile computing, and cloud computing. Through world-class education, including hundreds of hours of technical sessions, tutorials, panel discussions, and moderated roundtables, GTC brings together thought leaders from a wide range of fields.
Meet with Microway Near GTC 2024
Spend some time with Microway experts and let us help provide technical expertise and accelerate your next project. Meet with us onsite or via Zoom:
Standard 1:1 Meeting
Schedule a 1:1 30 minute meeting with Microway. We’ll discuss your next project.
Key GTC Sessions
GTC 2024 Spring Keynote
NVIDIA CEO Jensen Huang will share the latest innovations for HPC, AI, and beyond in a must-see keynote. Watch at 1pm PT on March 18 (replay also available thereafter). No registration required.
Driving Enterprise Transformation: CIO Insights on Harnessing Generative AI’s Potential [S62779]
Generative AI is leading a transformative era for enterprises, with vast potential to enhance employee experiences, improve productivity, strengthen security, and drive operational efficiencies. Moderated by NVIDIA’s vice president of enterprise AI and automation, this session provides practical insights and best practices from CIOs at the forefront of enterprise transformation through Generative AI.
Accelerating Scientific Workflows with the NVIDIA Grace Hopper Platform [S62337]
NVIDIA Grace Hopper Superchips are a scale-up architecture ideal for scientific computing workflows involving CPUs and GPUs. Grace Hopper realizes NVIDIA NVLink C2C, which enables coherent memory between the Grace CPU and the Hopper H100 GPU with 7x the bandwidth of PCIe. We discuss how Grace Hopper and the accompanying software stack create a platform that increases developer productivity, accelerates existing applications, and facilitates new standard programming models.
Connect With the Experts: How to Run and Optimize Your Workloads on the NVIDIA Grace CPU [CWE61327]
NVIDIA Grace Hopper Superchips are a scale-up architecture ideal for scientific computing workflows involving CPUs and GPUs. Grace Hopper realizes NVIDIA NVLink C2C, which enables coherent memory between the Grace CPU and the Hopper H100 GPU with 7x the bandwidth of PCIe. We discuss how Grace Hopper and the accompanying software stack create a platform that increases developer productivity, accelerates existing applications, and facilitates new standard programming models.
Connect With the Experts: Caring for, Feeding, and Managing Your DGX [CWE62813]
Do you want to learn how to properly keep your DGX systems running at top performance? How about learning about the latest tools to manage clusters with ease? Join this interactive session with DGX product managers and solution architects to get direct answers, help, and feedback to your questions, issues, and ideas when using DGX systems
Accelerating HPC and AI Applications with Offloading to BlueField DPUs: Strategies and Benefits [S61956]
Get an overview of the capabilities of SmartNICs and learn how to use these capabilities to accelerate HPC and AI applications. You will understand: • The architecture and capabilities of modern SmartNICs in the context NVIDIA’s Bluefield DPUs; • The problem of host-based communication progress; • How to use these DPUs to efficiently offload non-blocking MPI primitives and thereby accelerate HPC workloads such as HPL and P3DFFT, and PETSc Solvers; and • How to intelligently offload different phases of CPU-based DL training to accelerate the training of ResNet-20v1 model.
A Deep Dive into the Latest HPC Software
Take a deep dive into the latest developments in NVIDIA software for HPC applications, including a comprehensive look at what’s new in programming models, compilers, libraries, and tools. We’ll cover topics of interest to HPC developers, targeting traditional HPC modeling and simulation, quantum computing, HPC+AI, scientific visualization, and high-performance data analytics.
