Dinner for Atlanta IT Leaders

Accelerating Your Technical and Business Outcomes by Transforming the Processing of Your HPC and AI Workloads

Date

Thu, December 8th, 2022

Time

5:00 PM - 9:00 PM EST

Join your peers, along with HPE and AMD to network and discuss how organizations are using the latest HPC architecture and the next generation of modern High Performance Compute to accelerate workload performance and scalability while improving density, power conservation and ESG objectives.

 

DINNER AGENDA

5:00 PM EST Welcome Reception and Arrivals with Refreshments

6:00 PM EST Leadership Discussion

  • Introduction (10 mins)

      The peer executive will engage the audience for brief introductions and discuss the format and key takeaways from the guided interaction conversation and dinner discussions.
  • Guided Interactive Conversation (30 mins)
    Topics include

    • The acceleration of AI in healthcare industry driven by the pandemic
    • HPC platforms to support the efficient and simplified delivery of advanced AI workloads at scale
    • Hybrid cloud consumption based services with purpose built and optimized configurations for AI/ML workloads
  • Open Forum Discussion (35 mins) This discussion will be based on the list of challenges discussed already and will take the format of group brainstorming and open discussion to come up with suggestions and solutions to common challenges at the executive level.

7:15 PM EST Dinner Service 

9:00 PM EST Conclusion

Limited Seats Available Register Today!

About HPE

From SMB to enterprise to Exascale, AMD EPYC processors feature the world’s highest-performing x86 server processor . AMD and HPE work together to help deliver workload-optimized solutions that help customers respond quickly to business needs, such as turning data into faster decisions, never forgetting your data’s security. Speed time-to-value across a hybrid infrastructure that serves the needs of increasingly demanding workloads and applications. From the edge to core to cloud, HPE and AMD offer the workload-focused datacenter solutions and as-a-service infrastructure customers need to maximize business efficiency and operational agility.