NVIDIA at ISC Digital

Join us online at this year’s International Supercomputing Conference—ISC Digital 2020—to see how cutting-edge NVIDIA technologies are transforming a broad range of industries and scientific disciplines. Explore featured sessions as part of the ISC Digital agenda and check out our digital demos, our partner ecosystem, and more. Learn how NVIDIA is building HPC and AI supercomputers of the future, fueling scientific breakthroughs around the world.

NVIDIA News at ISC Digital

NVIDIA A100 Tensor Core GPU Powered Servers

World’s Leading Manufacturers Announce Dozens of A100-Powered Servers

Designed to tackle challenges in AI, data science, and scientific computing, dozens of NVIDIA A100 Tensor Core GPU-powered servers from leading vendors around the world are expected to launch in record time. Several are being announced just one month following the launch of the NVIDIA Ampere architecture.

NVIDIA Mellanox Unified Fabric Manager Cyber-AI platform

Revolutionizing Supercomputing with AI-Powered Infiniband Cyber Intelligence

Introducing the NVIDIA Mellanox Unified Fabric Manager (UFM) Cyber-AI platform, harnessing AI-powered analytics to minimize downtime in InfiniBand data centers. System admins can now quickly detect and respond to potential security threats and address upcoming failures, saving costs and ensuring consistent customer service.

NVIDIA Technology Accelerates 8 of the Top 10 Fastest Supercomputers

Accelerating Eight of the Top 10 Fastest Supercomputers

NVIDIA technology accelerates eight of the world’s 10 fastest supercomputers and two-thirds of the 500 fastest systems. NVIDIA’s new internal AI research system, Selene, ranks number 7 in the world and tops the new Green500 list of the world’s most energy-efficient systems.

NVIDIA Speakers and Sessions

Marc Hamilton
Gilad Shainer
Dr. Mozhgan Chimeh
Richard Graham
CJ Newburn

Schedule of Online Sessions

  • MON
  • TUE
  • WED
  • THU


05:00 - 06:00 (CEST)



04:00 - 05:00 (CEST)


Featured Demos

Explore these demos to dive deeper into the breakthroughs made possible by GPU technologies.

Accelerating COVID-19 Research with NVIDIA GPUs

Accelerating COVID-19 Research with GPUs

Scientists and researchers are racing against the clock to find a cure for COVID-19. The search requires screening billions of drug candidates and identifying the right chemical structure that will most favorably bind—and interfere—with the virus. However, calculating the binding potential is computationally intensive, taking years to screen a billion compounds on a CPU system. The GPU accelerates this process by 33X, and the GPU-powered supercomputer Summit can scan over one billion compounds in 12 hours.

NVIDIA A100 Tensor Core GPU

Running Multiple Workloads on a Single A100 GPU

Researchers and developers get a dedicated GPU to run their workload, even if the workload only uses a fraction of the GPU's compute power. The NVIDIA A100 Tensor Core GPU includes a groundbreaking feature called Multi-Instance GPU (MIG), which partitions the GPU into as many as seven instances, each with dedicated compute, memory, and bandwidth. This allows multiple users to run their workloads on the same GPU, maximizing per-GPU utilization and user productivity. This demo runs AI and HPC workloads simultaneously on the same A100 GPU.

Multi-Instance GPU on the NVIDIA A100 Tensor Core GPU

Boosting Performance and Utilization with Multi-Instance GPU

Multi-Instance GPU (MIG) on the NVIDIA A100 Tensor Core GPU can guarantee performance for up to seven jobs running concurrently on the same GPU—and each GPU instance is fully isolated with its own compute, memory, and bandwidth. This unique capability of the A100 GPU offers the right-sized GPU for every job and maximizes data center utilization. This demo shows inference performance on a single slice of MIG and then scales linearly across the entire A100.

NVIDIA IndeX  & GPUDirect Storage

Visualizing 150 Terabytes of Data

A team of NASA scientists and engineers are using Summit, the world's fastest supercomputer at Oak Ridge National Laboratory (ORNL), to simulate retropropulsion using NASA’s FUN3D, a computational fluid dynamics simulation library. This demo uses two NVIDIA technologies—NVIDIA IndeX® and GPUDirect® Storage—to allow researchers to fly through the massive dataset in real time, volumetrically, and navigate while the simulation data continuously updates.

NVIDIA Mellanox Unified Fabric Manager

Taking a Closer Look at NVIDIA Mellanox UFM

The NVIDIA Mellanox Unified Fabric Manager (UFM) provides enhanced network management, monitoring, optimizations, security, and more. The newly announced UFM Cyber-AI applies AI to learning a data center’s operational cadence and network workload patterns, drawing on both real-time and historic telemetry and workload data. This demo shows how system administrators can take advantage of UFM to improve their operation's costs and minimize downtime.

NVIDIA Mellanox Quantum Switch

Maximizing Performance for Distributed Machine Learning and Deep Learning with SHARP

Today’s modern-day machine learning data centers require complex computations and fast, efficient data delivery. The NVIDIA Mellanox Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) takes advantage of the in-network computing capabilities in the NVIDIA Mellanox Quantum switch, dramatically improving the performance of distributed machine learning workloads.

Student Cluster Competition

The ISC HPC-AI Advisory Council Student Cluster Competition is taking place online as part of ISC Digital, starting June 1 and ending with an awards ceremony on June 24. Joining the global fight against COVID-19, the 14 student teams from around the world will utilize NVIDIA GPU platforms at National Supercomputing Center (NSCC) Singapore to test several applications that are currently being used by the global research community.


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Dive deeper into more HPC content at HPC Summit Digital.