NVIDIA DGX-1 User Group @ GTC 2017
May 8th, 5:30pm - 8:00pm
May 8th, 5:30pm - 8:00pm
Join Us!
Calling all DGX-1 users, admins, scientists, and researchers to gather for this exclusive invitation-only event. We’re interested in learning about your experience with the DGX-1 thus far, hearing about your use-cases, challenges and successes, and understanding how to best help achieve your goals.
In return, our team of product management, solutions architects, and engineering will be on-hand to provide information to help you get the most out of your DGX-1, including special insights covering tips n’ tricks, and best practices, as well as DGX-1 Cloud Services.
This will be a great opportunity to network with peers from different companies and industries around the globe in an informal meet-up style. Food and drinks included!
Calling all DGX-1 users, admins, scientists, and researchers to gather for this exclusive invitation-only event. We’re interested in learning about your experience with the DGX-1 thus far, hearing about your use-cases, challenges and successes, and understanding how to best help achieve your goals.
In return, our team of product management, solutions architects, and engineering will be on-hand to provide information to help you get the most out of your DGX-1, including special insights covering tips n’ tricks, and best practices, as well as DGX-1 Cloud Services.
This will be a great opportunity to network with peers from different companies and industries around the globe in an informal meet-up style. Food and drinks included!
Tell Us What You Want to Hear!
We’re assembling an interactive, compelling session shaped around your interests, challenges, and experiences. In the signup form provided, tell us which topics interest you or propose a new one!
We’re assembling an interactive, compelling session shaped around your interests, challenges, and experiences. In the signup form provided, tell us which topics interest you or propose a new one!
- Best Practices for Deep Learning Scalability – Lessons from DGX SATURNV
- Tips & Tricks: Get the Most of Your DGX-1 with Containers and Cloud Services
- Tuned for Deep Learning Performance: DGX-1 Containers
- Things You Didn’t Know You Could Do with DGX-1!
- Interactive Q&A Panel with the Team
DGX-Focused Sessions Happening at GTC 2017
Check out the great DGX content being developed for GTC, here.
REGISTRATION FORM
We have a limited number of seats offered,
so make sure to sign-up now.
FEATURED DGX-1 USER GROUP SESSIONS AT GTC
The Making of DGX SATURNV - Breaking the Barriers to A.I. Scale
Speaker: Louis Capps, Solution Architect, NVIDIA
Abstract: Gain insight on how NVIDIA built the world’s most efficient supercomputer for deep learning. Learn how (1) DGX SATURNV’s efficiency is key to building machines capable of reaching exascale speeds (2) the blueprint for building an AI architecture (3) why organizations invest in such architecture, and potential problems that can be solved with the massive computing power of 125 NVIDIA Pascal-powered DGX-1 server nodes.
The Making of DGX SATURNV - Breaking the Barriers to A.I. Scale
| Speakers: | Craig McDonald, Senior Director, DGX Product Management, NVIDIA Michael O’Connor, Senior Engineering Manager, Deep Learning, NVIDIA |
Abstract: Learn how you can experiment faster, supporting multiple containerized deep learning frameworks, with different optimizations that can run co-resident on the NVIDIA DGX. Discover how DGX cloud services can help centralize and remotely manage your frameworks, quickly deploy to DGX nodes, and be shared across your organization.
The Making of DGX SATURNV - Breaking the Barriers to A.I. Scale
Speaker: Michael O’Connor, Senior Engineering Manager, Deep Learning, NVIDIA
Abstract: Attend this session to learn (1) the genesis for NVIDIA’s unique, integrated software stack built on NVDocker container technology (2) how NVIDIA engineering optimizes deep learning frameworks for I/0 data path performance, along with integration with cuDNN and cuBLAS, and how multi-GPU scale and performance is maximized with NCCL. (3) Why DGX users can quickly deploy a system, and expect a seamless, streamlined experience.
Accelerated Deep Learning Within Reach - Supercomputing Comes to Your Cube
Speaker: Markus Weber, Senior Product Manager, DGX Station, NVIDIA
Abstract: In this session learn (1) the benefits of rapid experimentation and deep learning framework optimization as a precursor to scalable production training in the data center (2) technical challenges that must be overcome for extending deep learning to more practitioners across the enterprise (3) how many organizations can benefit from a powerful enterprise-grade solution that's pre-built, simple to manage, and readily accessible to every practitioner.
What’s Next in DGX Server Solutions for Deep Learning
Speaker: Charlie Boyle, Senior Director, DGX Product Management, NVIDIA
Abstract: Learn how (1) Organizations just like yours are scaling their deep learning practice, and gaining competitive advantage with DGX systems (2) How you can apply DGX systems to various use cases in your organization, and accelerate your time-to-insights (3) A roadmap of what's next for AI supercomputing solutions built on DGX.
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