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Introduction

Date: Thursday, July 9, 2020
Time: 11:00am – 12:00pm PT
Duration: 1 hour


NVIDIA recently announced its latest generation of GPU architecture, Ampere. Ampere unifies AI training and inference to deliver 20x the performance boost from its predecessor, our biggest breakthrough in performance to date. NVIDIA A100 Tensor Core GPU, based on the Ampere architecture, delivers the next giant leap in our data center platform products which can enable you to do your life’s work. Key innovations such as new TF32 for AI & Multi-instance GPU (MIG) make NVIDIA A100 ideal for diverse, demanding workloads including scientific simulation, conversational AI, recommender systems, genomics, high-performance data analytics, seismic modeling and financial forecasting.


NVIDIA A100 Tensor Core’s expanded capabilities:
  • New TF32 for AI, which allows for up to 20x the AI performance of FP32 precision, without any code changes in TensorFlow and PyTorch
  • Learn how to get the most of A100 with PyTorch and Tensorflow
  • Use Deep Learning Profiler to understand your Tensor Core utilization and how to improve
NVIDIA Multi-instance GPU (MIG): How to get the best performance with an A100 GPU by using up to seven GPU instances

NVIDIA Data Center GPU Manager (DCGM): Monitoring your A100 cluster to get optimal utilization of Tensor Cores and MIG

Join us after the presentation for a live Q&A session.

NVIDIA Speakers: Joey Conway, Poonam Chitale & Pramod Ramarao

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Joey Conway

Product Manager, NVIDIA

Joey Conway is a group product manager of AI at NVIDIA.

Poonam Chitale

Product Manager, NVIDIA

Poonam is a product manager at NVIDIA. Over the past few years she has been working on deep learning profiling tools and developer technologies in computer vision and conversational AI.

Pramod Ramarao

Product Manager, NVIDIA

Pramod is a product manager for accelerated computing at NVIDIA. He leads product management for the CUDA platform and data center software, including container technologies.

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Date & Time: Wednesday, April 22, 2018